Method of precision eye-tracking through use of iris edge based landmarks in eye geometry

Information

  • Patent Grant
  • 9655515
  • Patent Number
    9,655,515
  • Date Filed
    Wednesday, April 8, 2009
    15 years ago
  • Date Issued
    Tuesday, May 23, 2017
    7 years ago
Abstract
In the field of eye tracking, greater accuracy or resolution in monitoring movement of the eye can be gained by digitizing the eye, and tracking the movement of a landmark with fixed size and a fixed location relative to the eye's local coordinate system. The edge of the iris can be used as such a fixed landmark. Through the location and or establishment of at least a portion of the outer edge of the iris and/or an iris center point, both large and small scale eye movements, including but not limited to micro-tremors, can be traced with a higher degree of accuracy. This will aid in the diagnosis of diseases, assessing state of consciousness, and defining brainstem death.
Description
BACKGROUND OF THE INVENTION

1. Field of the Invention


The present invention pertains generally to eye tracking technologies, and more particularly to precision eye tracking through use of relative iris edge based landmarks in eye geometry.


2. Background Information


In addition to the eyes being the “gateway to the soul” (Herman Melville), a subject's eyes are an incredibly sensitive bio-indicator that can be utilized for many functions.


Eye movement is the voluntary or involuntary movement of the eyes, helping in acquiring, fixating and tracking visual stimuli. In addition, rapid eye movement (REM) occurs during REM sleep.


“Eye tracking is the process of measuring either the point of gaze (“where we are looking”) or the motion of an eye relative to the head. An eye tracker is a device for measuring eye positions and eye movements. Eye trackers are used in a wide array of applications including research in numerous fields, medical diagnosis, psychology, in cognitive linguistics and even in advertising and product design. There are a number of methods for measuring eye movements. The most popular variant is a non-invasive technique that uses video images from which the eye position is extracted. Other methods use search coils or are based on the electro-oculogram. The non-invasive technique for recording eye position relative to the head using a camera to record eye position relative to the head is also known as video oculography or VOG. VOG systems are used by Vestibular Researchers, Ophthalmologist, Otolaryngologists, Physical Therapists, Neurologists, Audiologists, Balance Clinicians, Neurophysiologists, Physiologists, Neuroscientists, Occupational Therapists, and others.


The most widely used current designs are video-based eye trackers. A camera focuses on one or both eyes and records their movement as the subject viewer will often look at some kind of stimulus. Most modern eye-trackers use contrast to locate the center of the pupil. Image processing software is utilized to interpret the images to provide objective data of eye position. This type of image processing software is described in “A GEOMETRIC BASIS FOR MEASUREMENT OF THREE-DIMENSIONAL EYE POSITION USING IMAGE PROCESSING” Vision Res. Volume 36. No. 3, Moore et al., pp 445-459, 1996, which is incorporated herein by reference. In general, most eye tracking devices digitize an image of the, define the pupil using the high contrast difference between the pupil and the rest of the eye, and then define the center of the pupil by approximating a circle of the same size or calculating the centroid of the pupil itself. For relatively large-scale eye movements, such as saccades and nystagmus, this method is appropriate despite of the fact that the pupil changes in size and, to a lesser degree, shape.


Accurate eye position recording and monitoring in three dimensions (3D-yaw, pitch and torsion rotation about line of sight) is a significant clinical diagnostic tool in the field of vestibular disorders such as vertigo and other neurological disorders.


There is a need for greater precision in eye tracking systems.


SUMMARY OF THE INVENTION

In the field of eye tracking, greater accuracy or resolution in monitoring the movement of the eye can be gained by digitizing the eye, and tracking the movement of a landmark with fixed size and a fixed location relative to the eye's local coordinate system. At least a portion of the edge of the iris can be used as such a fixed landmark, or simply landmark. Further, by defining at least a portion of the edge of the iris, possibly even calculating its center (or other fixed landmark relative to the calculated iris edge), and tracking a portion of the edge and/or the center over time, both large and small scale eye movements, including but not limited to micro-tremors, can be traced with a higher degree of accuracy. This will aid in the diagnosis of diseases, assessing state of consciousness, and defining brainstem death.


These and other objects of the present invention will be clarified in the following description which is taken together with the attached figures in which like reference numerals represent like elements throughout.





BRIEF DESCRIPTION OF THE DRAWINGS


FIG. 1 is a schematic view of an image of a subject's eye;



FIG. 2 is a schematic view of an image of the subject's eye of FIG. 1 illustrating a representative change in pupil size and shape;



FIG. 3 is a schematic representation of a relative location marker in accordance with one aspect of the present invention; and



FIG. 4 is a schematic representation of portions of calculating a geometric center of an iris in accordance with one aspect of the present invention.





DETAILED DESCRIPTION OF THE INVENTION

A complete understanding of the invention will be obtained from the following description when taken in connection with the accompanying drawing figures, wherein like reference characters identify like parts throughout. It is also to be understood that the specific devices and processes illustrated in the attached drawings, and described in the following specification, are simply exemplary embodiments of the invention. Hence, specific dimensions and other physical characteristics related to the embodiments disclosed herein are not to be considered as limiting. FIGS. 1 and 2 are schematic views of an image of a subject's eye 10, including the sclera 12, iris 14 with iris edge 16, pupil 18, tear ducts 20 and eye muscle 22.


As discussed above, most eye tracking devices digitize an image of the, define the pupil 18 using the high contrast difference between the pupil 18 and the rest of the eye 10, and then define the center of the pupil 18 by approximating a circle of the same size or calculating the centroid of the pupil 18 itself. For relatively large-scale eye movements, such as saccades and nystagmus, this method is appropriate despite of the fact that the pupil 18 changes in size and, to a lesser degree, shape. However, greater accuracy or even resolution in monitoring the movement of the eye 10 can be gained by digitizing the eye 10, and tracking the movement of a landmark with fixed size and a fixed location relative to the eye's local coordinate system. The edge of the iris 16 can be used as such a fixed landmark. The present invention provides that by defining or establishing at least a portion of the outer edge 16 of the iris 14 both large and small scale eye movements, including but not limited to micro-tremors, can be traced with a higher degree of accuracy. This will aid in the diagnosis of diseases, assessing state of consciousness, and defining brainstem death.


The term landmark within the meaning of the present application will reference a perceptible or visible artifact that is fixed relative to the local co-ordinate system of the eye 10. The eye 10 defines a local co-ordinate system, often represented with an axis “through” the center of the pupil 18 generally along a gaze path and two perpendicular axes thereto. It does not matter where the local co-ordinate system is established within the eye 10, rather that the artifact is fixed in such a local system such that it is a landmark or a fixed landmark. In other words the landmarks will move with the eye 10.


The concepts of the present invention can be explained in connection with FIGS. 1-2. In these figures the wide variation in the pupil 18 size (and shape) will illustrate that the pupil 18 monitoring methods results in a certain amount of error. The pupil center is established typically by approximating the shape of the pupil 18 as a circle, and, the center of the circle (the assumed center of the eye 10), in theory remains unchanged as the circle expands in diameter due to changes in pupil 18 diameter. However these are merely approximations that lead to noise in the system that prevents the system from identifying small eye movements, such as micro-tremors.


The present invention utilized at least a portion of the outer edge 16 of the iris 14 as a landmark for tracking eye movement. As shown in FIG. 3, the iris outer segment 16, namely the lower outer quadrant, can be used as a landmark and this segment 16 viewed to determine eye 10 movement. The representation in FIG. 3 illustrates that the eye 10 position has not moved from FIG. 1-2 even though the pupil 18 diameter and shape has changed between these two representations.


The image processing for establishing the outer iris edge 16 is substantially the same as for pupil 18 edge detection, and is the same as general edge detection in image processing as known in the art. The term iris edge 16 is intended to be broad enough to cover various formulations of finding such an image border. For example, in some edge recognition programs, an image will convert the color of different pixels to ranges or even to merely 0 and 1 depending upon a fixed threshold. In order to distinguish between noise and other eye artifacts (eye vessel), the edge detection algorithm may select find the first 1 in a row and verify that the next 2-5 pixels are also 1 before calculating that it is an edge, or may look at the surrounding X pixel values before calculating that the iris edge has been found. The term iris edge 16 will define the edge 16 of the iris 14 within the scope of image edge detection algorithms.


The present invention contemplates detecting the outer iris edge 16 and utilizing at least a portion of this as a landmark for eye tracking. The length of the segment 16 that is utilized can be varied and the quadrant shape is merely an illustration. In some applications a single or distinct iris edge 16 point will be a sufficient landmark to track. A plurality of edge points at different locations or of edge segments 16 at different locations could also be utilized as eye 10 landmarks within the scope of the present invention.


A further aspect of the present invention is to utilize the iris edge 16 to define a center of the iris 14 and to use the center of the iris 14 as an eye tracking landmark.


The center of the iris landmark would be at the centroid X of the iris area. The centroid of an area is very similar to the center of mass of a body. The centroid is calculated using only the geometry of the figure. The general function for calculating the centroid of a geometrically complex cross section is most easily applied when the figure is divided into known simple geometries and then applying the formula:







x
_

=






x
i

_



A
i






A
i










y
_

=






y
i

_



A
i






A
i








The distance from the y-axis to the centroid is x

The distance from the x-axis to the centroid is y

The coordinates of the centroid are (x, y).


This calculation of a centroid X of the iris 14 is represented in FIG. 4 in schematic fashion. One further aspect is that to calculate the iris centroid X the full shape of the iris 14 must be used. Thus the present invention contemplates looking for discontinuities 24 along the originally presumed iris edge 16, which could be indicative of the lid 26 cutting across the iris 14 portion. In this case the full iris 14 will need to be approximated with an iris edge approximation 18′ between the points of discontinuity 24 based upon the general shape of the remaining iris 14 portions. The methods of interpolating between the discontinuities 24 based upon the remaining portions 16 of the iris edge are believed to be well understood.


A further iris 14 based landmark would be a centroid of an iris segment 16 such as a quadrant shown in FIG. 3. Calculating the centroid of the pie shaped quadrant follows the same formula above and only needs the iris edge 16 for that segment in order for this point to be calculated.


In summary the key feature of the present invention is the use of the iris edge 16 as a basis for establishing landmarks for eye tracking. The iris edge 16 may be used itself as a landmark or collection of landmarks in the form of a single iris edge point, as a single iris edge segment, as a collection of points or segments of the iris edge and combinations of iris edge points and iris edge segments. Further the iris edge 16 may be used to calculate an iris center point X, or other distinct point that is used as a landmark for eye tracking, and these can be used individually or in combination with each other. The landmarks that are calculated from the iris edge 16 may be used in combination with the landmarks formed by the iris edge 16 itself.


Further the iris based landmarks (which includes the landmarks formed by the iris itself) of the present invention can be used with known prior art landmarks to improve the prior art tracking methodologies. For example, the present invention can use both pupil center and iris based landmarks to track the eye 10 position. It is believed that the iris edge 16 based landmarks will provide for more precision in eye tracking methodologies and open up greater diagnostic possibilities accordingly.


Although the present invention has been described above by reference to an embodiment of the invention, the present invention is not limited to the embodiments described above. Modifications and variations of the embodiment described above will occur to those skilled in the art, in light of the above teachings without departing from the spirit of the present invention The present invention, therefore, to be limited only as indicated by the scope of the claims appended hereto and equivalents thereto.

Claims
  • 1. A method of identifying at least one landmark in the eye comprising the steps of: digitizing an image of the eye;identifying at least a portion of the edge of the iris from the digitized image of the eye; andcalculating a centroid of an area defined by the identified edge portion of the iris wherein the centroid forms at least one landmark in the eye.
  • 2. The method of claim 1 further including the steps of calculating a geometric center of the iris based upon the identified edge of the iris, and wherein the step of calculating a geometric center of the iris includes identifying discontinuities of the identified iris edge and if any such discontinuities are found utilizing an iris edge approximation between the discontinuities to calculate the geometric center.
  • 3. The method of identifying at least one landmark in the eye of claim 1 wherein the fixed landmarks based upon the identified portion of the edge of the iris are selected from the group of a single iris edge point, a single iris edge segment, a collection of iris edge points, a collection of iris edge segments, and combinations of iris edge points and iris edge segments.
  • 4. The method of identifying at least one landmark in the eye of claim 1 wherein the fixed landmarks based upon the identified portion of the edge of the iris includes a centroid of a pie shaped quadrant defined by a segment of an identified segment portion of the edge of the iris.
  • 5. The method of identifying at least one landmark in the eye of claim 1 wherein the fixed landmarks based upon the identified portion of the edge of the iris are selected from the group of a single iris edge segment, a collection of iris edge points, and a collection of iris edge segments.
  • 6. A method of eye tracking comprising the steps of: digitizing an image of the eye;identifying at least a portion of the edge of the iris from the digitized image of the eye;establishing at least one fixed landmark based upon the identified portion of the edge of the iris; andtracking the movement of the at least one landmark over time.
  • 7. The method of claim 6 further including the steps of calculating a geometric center of the iris based upon the identified edge of the iris, wherein the geometric center of the iris is one said landmark, and wherein the step of calculating a geometric center of the iris includes identifying discontinuities of the identified iris edge and if any such discontinuities are found utilizing an iris edge approximation between the discontinuities to calculate the geometric center.
  • 8. The method of eye tracking of claim 6 further including the step of using both pupil center and iris based landmarks to track the eye position.
  • 9. The method of eye tracking of claim 6 wherein the fixed landmarks based upon the identified portion of the edge of the iris are selected from the group of a single iris edge point, a single iris edge segment, a collection of iris edge points, a collection of iris edge segments, and combinations of iris edge points and iris edge segments.
  • 10. The method of eye tracking of claim 6 wherein the fixed landmarks based upon the identified portion of the edge of the iris includes a centroid of a pie shaped quadrant defined by a segment of an identified segment portion of the edge of the iris.
  • 11. The method of eye tracking of claim 6 further including the step of identifying small eye movements including micro-tremors from a review of the tracking of the movement of the at least one landmark over time.
  • 12. The method of eye tracking of claim 11 further including the step of using measured eye movements as assessment of the state of consciousness.
  • 13. The method of eye tracking of claim 11 further including the step of using measured eye movements as assessment or indication of brainstem death.
  • 14. A method of assessing the state of consciousness of a subject comprising the steps of: digitizing an image of the eye;identifying at least a portion of the edge of the iris from the digitized image of the eye;establishing at least one fixed landmark based upon the identified portion of the edge of the iris;tracking the movement of the at least one landmark over time;identifying small eye movements including micro-tremors from a review of the tracking of the movement of the at least one landmark over time; andutilizing the tracked small eye movement in an assessment of the state of consciousness of a subject.
  • 15. The method of assessing the state of consciousness of a subject of claim 14 further including the steps of calculating a geometric center of the iris based upon the identified edge of the iris, wherein the geometric center of the iris is one said landmark, and wherein the step of calculating a geometric center of the iris includes identifying discontinuities of the identified iris edge and if any such discontinuities are found utilizing an iris edge approximation between the discontinuities to calculate the geometric center.
  • 16. The method of assessing the state of consciousness of a subject of claim 14 further including the step of using both pupil center and iris based landmarks to track the eye position.
  • 17. The method of assessing the state of consciousness of a subject of claim 14 wherein the fixed landmarks based upon the identified portion of the edge of the iris are selected from the group of a single iris edge point, a single iris edge segment, a collection of iris edge points, a collection of iris edge segments, and combinations of iris edge points and iris edge segments.
  • 18. The method of assessing the state of consciousness of a subject of claim 14 wherein the fixed landmarks based upon the identified portion of the edge of the iris includes a centroid of a pie shaped quadrant defined by a segment of an identified segment portion of the edge of the iris.
RELATED APPLICATIONS

This application claims the benefit of U.S. Provisional Patent Application No. 61/043,349, filed Apr. 8, 2008, entitled “Method of Precision Eye-tracking Through Use of Iris Edge Based Landmarks in Eye Geometry”

US Referenced Citations (113)
Number Name Date Kind
3612642 Dostal Oct 1971 A
4006974 Resnick Feb 1977 A
4084182 Maiman Apr 1978 A
4309608 Adamson Jan 1982 A
4320768 Ledley Mar 1982 A
4474186 Ledley Oct 1984 A
4572199 LaCourse Feb 1986 A
4836219 Hobson Jun 1989 A
4852988 Velez et al. Aug 1989 A
4863259 Schneider Sep 1989 A
5070883 Kasahara Dec 1991 A
5098426 Sklar Mar 1992 A
5130838 Tanaka Jul 1992 A
5252999 Sukigara Oct 1993 A
5304112 Mrklas Apr 1994 A
5305746 Fendrock Apr 1994 A
5320109 Chamoun Jun 1994 A
5345281 Taboada Sep 1994 A
5365941 Yoshimatsu Nov 1994 A
5368041 Shambroom Nov 1994 A
5381804 Shambroom Jan 1995 A
5410376 Cornsweet Apr 1995 A
5458117 Chamoun Oct 1995 A
5481622 Gerhardt Jan 1996 A
5491492 Knapp Feb 1996 A
5652756 Stultz Jul 1997 A
5687020 Park Nov 1997 A
5704369 Scinto Jan 1998 A
5714967 Okamura Feb 1998 A
5792069 Greenwald Aug 1998 A
5813404 Devlin Sep 1998 A
5821521 Bridgelall Oct 1998 A
5838420 Donaldson Nov 1998 A
5892566 Bullwinkel Apr 1999 A
5942954 Galiana Aug 1999 A
5943116 Zeimer Aug 1999 A
5963300 Horwitz Oct 1999 A
5980513 Frey Nov 1999 A
5983128 Baudonniere Nov 1999 A
6003991 Viirre Dec 1999 A
6024707 Scinto Feb 2000 A
6032064 Devlin Feb 2000 A
6032072 Greenwald Feb 2000 A
6033073 Potapova Mar 2000 A
6077237 Campbell Jun 2000 A
6089716 Lashkari Jul 2000 A
6090051 Marshall Jul 2000 A
6099124 Hidaji Aug 2000 A
6099522 Knopp et al. Aug 2000 A
6113237 Ober Sep 2000 A
6120461 Smyth Sep 2000 A
6162186 Scinto Dec 2000 A
6213943 Abreu Apr 2001 B1
6231187 Munoz May 2001 B1
6247813 Kim Jun 2001 B1
6271915 Frey Aug 2001 B1
6275718 Lempert Aug 2001 B1
6299307 Oltean et al. Oct 2001 B1
6299308 Voronka Oct 2001 B1
6367932 Donaldson Apr 2002 B1
6402320 Borchert Jun 2002 B1
6456261 Zhang Sep 2002 B1
6459446 Harman Oct 2002 B1
6467905 Stahl Oct 2002 B1
6524581 Adamis Feb 2003 B1
6542081 Torch Apr 2003 B2
6551575 Greenspan Apr 2003 B1
6568808 Campin May 2003 B2
6574352 Skolmoski Jun 2003 B1
6609523 Anthony Aug 2003 B1
6629935 Miller Oct 2003 B1
6631989 Odom Oct 2003 B2
6634749 Morrison Oct 2003 B1
6637883 Tengshe Oct 2003 B1
6652458 Blazey Nov 2003 B2
6659611 Amir Dec 2003 B2
6669341 Wirth Dec 2003 B2
6697894 Mitchell Feb 2004 B1
6748275 Lattner Jun 2004 B2
6796947 Watt Sep 2004 B2
6800062 Epley Oct 2004 B2
RE38668 Edwards Dec 2004 E
6943754 Aughey Sep 2005 B2
7019778 Prabhu Mar 2006 B1
7448751 Kiderman Nov 2008 B2
7465050 Migliaccio et al. Dec 2008 B2
7520614 Joos et al. Apr 2009 B2
7665845 Kiderman et al. Feb 2010 B2
20020027779 Cassarly Mar 2002 A1
20020085174 Bolger Jul 2002 A1
20020171805 Odom Nov 2002 A1
20020175880 Melville Nov 2002 A1
20030028081 Blazey Feb 2003 A1
20040181168 Plant Sep 2004 A1
20050024586 Teiwes Feb 2005 A1
20050079636 White Apr 2005 A1
20050099601 MacDougall May 2005 A1
20050101877 Miller May 2005 A1
20050110950 Thorpe May 2005 A1
20050216243 Graham Sep 2005 A1
20050278004 Steinert et al. Dec 2005 A1
20060039583 Bickert et al. Feb 2006 A1
20060098087 Brandt May 2006 A1
20060167670 Deering Jul 2006 A1
20060235331 Kiderman Oct 2006 A1
20070132841 MacDougall Jun 2007 A1
20070140531 Hamza Jun 2007 A1
20080049186 MacDougall Feb 2008 A1
20080053253 Moore et al. Mar 2008 A1
20080151192 Wood Jun 2008 A1
20080273084 MacDougall Nov 2008 A1
20080278685 MacDougall Nov 2008 A1
20090198148 Lonky Aug 2009 A1
Foreign Referenced Citations (1)
Number Date Country
11184621 Jul 1999 JP
Non-Patent Literature Citations (5)
Entry
Maria Fontanazza, Device Eases Diagnosis of Concussions and Other Cognitive Conditions, http://www.devicelink.com/mddi/archive/05/07/010.html.
Jason S. Babcock, Jeff B. Pelz, Building a lightweight eyetracker, http://www.cis.rit.edu/people/faculty/pelz/publications/ETRA04—babcock—pelz.pdf, 2004.
D. Zhu et al., Computer Methods and Programs in Biomedicine 59 (1999), pp. 146-157.
Hamish G. MacDougall, Applicants description of Prior Art Systems, Applicants internal memo regarding Prior Art.
Moore et al., A geometric Basis for Measurement of Three-Dimensional Eye Position Using Image Processing, pp. 445-459, Vision Res. vol. 36.
Related Publications (1)
Number Date Country
20100092049 A1 Apr 2010 US
Provisional Applications (1)
Number Date Country
61043349 Apr 2008 US