When an image is captured under controlled lighting, the power of the light source has great impact on the result. All things being equal, brighter sources will send more photons to the sensor during an exposure, producing a brighter and less noisy image.
The brightness of the source, however, is just one way to control the amount of light that reaches the sensor of a computational imaging system. Modern systems use an arrangement of devices to transport light from a source to the scene (or from the scene to sensor) and these devices (galvanometers, digital micro-mirror devices, liquid-crystal panels, phase modulators, etc.) are often programmable. However, these devices in the currently used configurations are also inefficient in their power consumption.
Studies of this problem began in the 1960s for arrangements of just the three main active components; a light source, a controllable light-blocking mask, and a photo-sensor. In this ubiquitous configuration, the light source is always turned on, and, while the energy efficiency of light sources have greatly increased over time, having the light source always turned on is still a major source of power consumption. The controllable light-blocking mask is used to selectively light the scene to be captured by the photo-sensor. This practice is not energy efficient, however, due to the fact that photons that are being generated are simply blocked within the system.
This invention introduces an energy optimized imaging system that captures images using one or more directable beam light sources synchronized with one or more active pixel selectable photosensors.
By synchronizing control of both a light source that has the ability to illuminate a specific area(s) along with a photosensor having a configurable mask having the ability to mask specific pixels, this invention can perform numerous imaging techniques that are either not possible with current technology, or are possible with current technology but would require far more optical components, far more expense, far more computation, and/or far more power consumption.
This invention can demonstrate several never-seen-before capabilities. For instance, live structured-light video of very bright scenes can be captured, even, for example, a light bulb that is on. The invention can also capture epipolar-only and indirect-only live video with optimal energy efficiency. The invention can measure the 3D shape of objects in challenging conditions, such as strong indirect light, strong ambient light, and smoke while using a low-power projector as the light source. Also, the invention can record live video from the point of view of a projector, rather than a photosensor.
A widely known truth in the field of image capture is that to optimally capture images with the most detail and least noise, the light throughput between the light source and the photosensor must be optimized. This invention implements this maxim while at the same time allowing for selective blocking of light paths between the light source and photosensor. The system topology that results from this optimization also allows for never-seen-before imaging techniques and energy efficiency.
There are three main parts to the invention as currently implemented, interconnected as shown in
As used herein, the term “directable light source” is a controllable light source that emits different amounts of light in different directions, where each pixel in the projector corresponds to a direction along which a slightly diverging beam is emitted. By changing the amount of light emitted along each direction, the projected pattern can be changed. There are two broad classes of projectors, spatial light modulator (SLM) based projectors and scanning projectors.
SLM projectors are of the type shown in
Scanning projectors are of the type shown in
As used herein, the terms “light source”, “directable light source” and “projector” are used interchangeably.
Also, in the preferred embodiments of the invention, various types of sensors may be used. Phase measuring light sensors (example photonic mixing devices or PMDs) can be used for measuring distance based on continuous wave time-of-flight; Dynamic vision Sensors (DVS) are sensors that are sensitive to changes in light levels; and photodiode arrays and avalanche photodiode arrays are high speed, high sensitivity light sensors that are often used for impulse time-of-flight measurements (flash LIDARS). In addition, basic CMOS and CCD sensors may be used.
In the preferred embodiment of the invention, a scanning projector of the type using a LASER-based projector with a beam steering mechanism, for example, a MEMS mirror, is used as the directable light source, and the sensor is preferably a light sensitive photosensor with a rolling shutter.
With reference to
The mathematical framework for this energy-optimized imaging system follows. If light source 10 is always on, and emits at the constant rate of Φ watts, illuminating a scene for exposure time T means that the total energy generated by light source 10 is ΦT.
The illumination vector l is used to describe how the total energy of a projector is distributed over N individual pixels. In particular, each element of l measures the total energy emitted by the source through a specific projector pixel during the exposure time. The l1-norm of l is therefore equal to the total “useful” energy of the source, i.e., the energy actually used for scene illumination. This energy cannot be larger than the energy generated by the source:
0≤l, ∥l∥1≤ΦT
where ∥∥1 is the l1-norm, giving the sum of all elements of a vector.
The energy efficiency of a projector depends critically on its ability to direct a maximum amount of the energy generated by the light source 10 to individual pixels. This ability is expressed as an upper bound on the individual elements of l:
∥l∥1≤ΦT/σ
where σ is a projector-specific parameter defined as the spatial spread. This parameter takes values between 1 and N and models energy redistribution. The larger its value, the lower the energy that can be sent through any one pixel, and the more energy wasted when projecting a pattern with just few pixels turned on.
The specific value of σ depends on the projection technology. At the far end of the range, with σ=N, are conventional projectors, as shown in
The l1 and l∞ constraints on l can be written more concisely as
where ∥⋅∥†σ is the max of two norms and therefore also a norm. These constraints are useful in three ways. First, arrangements can be optimized with very different light redistribution properties by adjusting the spatial spread parameter. Second, the dependence on exposure time makes a distinction between systems that conserve energy and those that merely conserve power. Third, they explicitly account for timescale-dependent behavior, for example raster-scan laser projectors can act like a beam, light sheet, or point source depending on T.
For masks that can control light attenuation at individual pixels on a sensor, we consider mask m, which is bounded from 0 to 1. The combined effect of the mask and illumination pattern can be represented as the outer product matrix of two vectors:
Π=mlT
Intuitively, matrix Π can be thought of as defining a non-uniform spatial light distribution that concentrates energy usable for imaging in some parts of space and not in others. Energy utilization is maximized when both the illumination pattern and the mask reach their norm upper bounds, ∥m∥∞∥I∥†σ.
It is also possible to use more than one mask and illumination pattern for the frame exposure time. Suppose for instance that K masks and illuminations were used. The optimization equation could then be written as:
There may be sequences that distribute light exactly like M and L but with greater total energy. Finding the most energy-efficient sequences requires solving a homogeneous factorization problem, where the goal is to produce a matrix Π with the largest possible scale factor:
The optimization equations above are hard to solve directly. But the equation can be relaxed into the following form:
where λ is a regularization parameter that balances energy efficiency and the reproduction of Π. This allows for finding M & L that will saturate their upper-bound constraints, and hence a fully illuminated matrix Π.
Illumination codes that maximize the energy efficiency are the impulse illuminations, like those of
To capture the epipolar component, the exposure te for each sensor row is matched to the time the projector stays on a scanline (tp) and the other timing parameters are chosen so that the line scanned by the projector is synchronized to the row being exposed in the sensor. Conversely, to capture non-epipolar light, the sensor exposure time is set to be tp less than the projector cycle time and the trigger is offset by tp so that every row is exposed for the entire projector cycle except during the time it is illuminated directly by the projector.
This energy optimized imaging system also has unique capabilities that are not possible in other imaging systems.
Because the rolling shutter of sensor 15 is tuned by synchronization controller 20 for the impulse illuminations of light source 10, very little ambient light is let into the sensor. This allows the invention to image extremely bright objects and scenes under bright ambient illumination. With current technology imaging systems, light from a controlled light source would be overwhelmed by ambient light and would not be detectable at the photosensor.
Also, since the rolling shutter of sensor 15 is aligned solely to the light source 10, reflections and scattered light that are caused by the object (such as if the object was mirrored, shiny, metallic, translucent, etc.) are not captured in the frame. Note that the rolling shutter of sensor 15 can purposely be offset from the source illumination so that only the reflections are captured.
This ability to not image reflections, scattered light and ambient light also gives the invention the ability to image and recover the shape of objects that are in challenging lighting conditions, specifically smoke or mist filled surroundings. Using the source illumination-to-photo-sensor disparity offset can allow for three-dimensional reconstruction within such lighting challenged areas.
It should be understood by one of skill in the art that controller 20 could be implemented as circuitry, as an ASIC, as a microprocessor running software, or by any other means known in the art. The invention is not intended to be limited to one method of implementing the functions of the controller.
Dual photography, a technique where the image generated is from the viewpoint of the light source rather than the photosensor, is also possible, even in a live video context, with no processing required.
The illumination technique used in this invention can be expanded to multiple photosensors. This allows for highly power efficient active illumination stereo using two or more photosensors.
The technique also extends naturally to configurations with multiple light sources. Different light sources interfere with each other minimally when used with the proposed technique. With inter-source synchronization, interference can be eliminated completely.
The proposed technique can be realized with a time-of-flight (ToF) photosensor. A rolling shutter ToF photosensor combined with a modulated scanning laser light source using our technique would allow for a power efficient ToF depth sensor that works under bright ambient light conditions and suppresses indirect lighting effects.
In other embodiments, the invention can be used with other imaging modalities including, but not limited to, light field imaging, microscopy, polarization, coherent, nonlinear, fluorescent and non-linear imaging.
Although the invention is illustrated and described herein with reference to specific embodiments, the invention is not intended to be limited to the details shown. Rather, various modifications may be made in the implementation without departing from the invention.
This application is a divisional application filed under 35 U.S.C. § 121 of U.S. patent application Ser. No. 16/516,664, filed Jul. 19, 2019, which is a continuation of U.S. patent application Ser. No. 15/545,391, filed Jul. 21, 2017, which is a filing under section 371 of PCT Application No. PCT/US16/17942, filed Feb. 15, 2016, which claims the benefit of U.S. Provisional Patent Application No. 62/176,352, filed Feb. 13, 2015.
This invention was made with government support under National Science Foundation No. IIS317749 and Army/ARO No. W911NF-10-2-0016. The government has certain rights in this invention.
Number | Date | Country | |
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62176352 | Feb 2015 | US |
Number | Date | Country | |
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Parent | 16516664 | Jul 2019 | US |
Child | 17495000 | US |
Number | Date | Country | |
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Parent | 15545391 | Jul 2017 | US |
Child | 16516664 | US |