This invention claims the priority of Japanese Patent Application No. 11-281596 (filed on Oct. 1, 1999) which is expressly incorporated herein by reference in its entirety.
In the past, a basic cosmetic such as lip rouge, eye shadow and so on has an important role and produces an attractive image for the user. At this present, there are many kinds of cosmetics comprising various colors and compositions from which to choose. The general user for these cosmetics is confronted with the difficulty of choosing the appropriate cosmetics and, specially the most flattering color.
The present inventors have already provided in Japan a method for selecting basic cosmetics which match the natural color of the user's skin. An object of this invention is to examine a color degree difference of brightness between the natural color of the user's complexion and one or more cosmetics. The user is then advised to select the cosmetic which is lower in its brightness than the natural color of the user's complexion.
The previous methods, however, cannot cover a wide range of users' personalities including their facial features, colors of their eyes and therefore it cannot offer a proper suggestion of cosmetic color. It is now required by users all over world that proper advice should be submitted in accordance with different color complexions, facial features and eye colors of persons of different race and complexions.
An object of this invention is to provide a method of effectively selecting basic cosmetics for different colored people, wherein the selection can be matched in view of their facial features, skin colors and eye colors.
In order to attain this object, the present invention has adopted the following means:
Through computer graphic methods an average face composition is produced, having average facial features, average skin colors, average lip colors and average eye colors; the obtained data is based on a plurality of different human faces. Then, on the obtained faces, basic cosmetics are furnished, and enquiries are performed for a plurality of different persons for the furnished faces respectively. The result of each enquiry is produced as a color map or an image map for analysis, so that the obtained map may provide suitable color informations or suitable images for the users of the cosmetics.
The other color map regarding different skin colors for a plurality of different races of people is also supplied.
At the same time, another color map regarding eye colors is supplied.
Further, the color map is prepared with “Hue” in a horizontal axis and with “Tone” in a longitudinal axis, and through this map, the desirable color is obtained by an objective view, not by a personal view.
Further, the color map is provided with “Active-Gentle” image in a horizontal axis and with “Fresh-Elegant” image in a longitudinal axis, and this map offers the desirable image thereof.
The preferred embodiments are now explained hereunder.
This invention has provided an average face composition through a computer graphic performance with average facial features, average skin colors, average lip colors and average eye colors, based on obtained data from a plurality of faces. On the obtained faces, basic cosmetics are shown thereon, whereby enquiries are offered for many different people to receive estimations thereof. The enquiry results are analyzed on a color map, through which matching color informations and desirable images are sought in order to make reasonable selections of the basic cosmetics. The average face is produced in accordance with different human races, such as Caucasians, black skinned people and Asians, and therefore the enquiries are also performed for each race after selecting a plurality of different people belonging to each race. In addition, the color map and image map are prepared according to each race. With regard to skin colors, the average color is a single color which is decided by an average value of examining data, but concerning the eye colors, there are various colors for Caucasians, and following five colors for their eyes are adopted as “Blue”, “Dark blue”, “Green”, “Dark brown” and “Hazel”, while black skinned people and Asians are decided singly as “Dark brown”.
With respect to Japanese, all properties are confirmed to be included in Asians, and thus Japanese are in the same category as other Asians.
The average face is obtained by a computer graphic method known as “Morphing Technology” through which the final image is in an intermediate result.
With regard to skin colors, the average color is obtained through examining data performed over 254 Caucasians, 74 black skinned people and 309 Asians.
Concerning eye colors, as already explained, the five colors are adopted for “Blue”, “Blue grey”, “Green”, “Dark brown” and “Hazel” for Caucasians, while only a single color of “Dark brown” is adopted for both Asians and black skinned people.
Next, on the average face, the lip rouge and the eye shadow are furnished by the computer graphic method, and photographs are produced after copying the display of the computer graphic, and thus obtained photographs are reserved as the data for the enquiry. The enquiry is submitted to a selected plurality of people, in other words, 64 Caucasians from New York and Paris, 92 Asians from Hongkong and Japan, and 10 black skinned from New York.
According to
With reference to
The colors as explained above were furnished on each average faces and photographs were completed as the enquiry data. Then, each photograph was shown to the selected persons to answer the enquiry. The enquiry articles are shown below, for which they were requested to offer their replies after choosing the proper photograph or photographs.
With regard to the lip rouge, the enquiry sentences are
1. The color of the skin looks healthy.
2. The color feels white.
3. The color feels black.
4. The color looks pretty.
5. The color looks bright.
6. The color of the rouge is striking.
7. The contrast between the color of the skin and that of the rouge is too strong.
8. The rouge is compatible with the color of the skin.
9. The image impression received from the total face looks fresh and active.
10. The image impression received from the total face looks fresh and gentle.
11. The image impression received from the total face looks elegant and active.
12. The image impression received from the total face looks elegant and gentle.
13. The image impression received from the total face looks pretty.
14. The color of the rouge is matching.
15. The total image received from the total face is charming.
16. The total image received from the total face is stylish.
17. The total image received from the total face is preferable.
The responders could offer their replies including plural articles, but they were also requested to select a single photo which looked as the most suitable one. The 4 articles described from 9 to 12 are prepared to receive the image impressions or informations derived from the color maps.
With regard to the eye shadow, the following questionnaires are submitted:
1. The color of the eye looks attractive.
2. The color looks pale.
3. The color looks dark.
4. The color looks pretty.
5. The color looks bright.
6. The color is striking.
7. The contrast between the color of the eye and that of the eye shadow is too strong.
8. The eye shadow is compatible with the color of the eye.
9. The image received from the balance between the eye shadow and the eye looks fresh and active.
10. The image received from the balance looks fresh and gentle.
11. The image received from the balance looks elegant and active.
12. The image received from the balance looks elegant and gentle.
13. The underside of the eye is pretty.
14. The eye shadow is matching.
15. The underside of the eye is charming.
16. The underside of the eye is stylish.
17. The total image received from the total face is preferable.
The responders could offer their replies including plural articles, but they were also requested to select a single photo which looked as the most suitable one. The 4 articles described from 9 to 12 are prepared to receive the image impressions or informations derived from the color maps.
All data are collected and the results are analyzed by the computer, whereas matching rouges and matching eye shadows are probed in accordance with each group, Caucasians, Asians and black skinned people, and what colors are most suitable for the users.
In
In these figures, a range surrounded by a dotted line belongs to Caucasians and a range surrounded by a broken line belongs to Asians while a range surrounded by a solid line belongs to black skinned people.
With reference to
Accordingly, it is shown that Caucasians have wide ranges both for the hue and tone, and Asians have a wide range of tones but have a narrow range for hue which is limited to blue and brown, while black skinned people have limited ranges for hue such as blue and brown and for tone such as vivid and moderate.
With regard to
With reference with these three figures, it is shown that the matching color for the eye shadow varies within each group. Some prefer their eye shadow to correspond to the color of their eyes, while others prefer a contrasting color. In view of these facts, through color balance theory, the combination of the similar colors between the eye color and the shadow is regarded as “Elegant” or “Calm”, while the use of contrasting colors is regarded as “Striking” and “distinctive”.
With reference to
Referring to
As explained before, the colors of the eyes are assorted into three groups, as “Blue and Blue grey”, “Green and Hazel” and “Dark brown” respectively, and the images are expressed thereof.
This invention can provide a method for selecting basic cosmetics for all users, corresponding with the facial features, skin color and eye color, wherein one can select the correct combination thereof to purchase the proper cosmetics with ease.
It is further understood by those skilled in the art that the foregoing description is preferred embodiment of the disclosed method and that various changes and modifications may be made in this invention without departing from the spirit and scope thereof.
Number | Date | Country | Kind |
---|---|---|---|
11-281596 | Oct 1999 | JP | national |
Number | Name | Date | Kind |
---|---|---|---|
4160271 | Grayson et al. | Jul 1979 | A |
4842523 | Bourdier et al. | Jun 1989 | A |
5178169 | Lamle | Jan 1993 | A |
5311293 | MacFarlane et al. | May 1994 | A |
5450504 | Calia | Sep 1995 | A |
5478238 | Gourtou et al. | Dec 1995 | A |
5495338 | Gouriou et al. | Feb 1996 | A |
5495539 | Sieverding | Feb 1996 | A |
5562109 | Tobiason | Oct 1996 | A |
5785960 | Rigg et al. | Jul 1998 | A |
5797750 | Gouriou et al. | Aug 1998 | A |
5805745 | Graf | Sep 1998 | A |
5850463 | Horii | Dec 1998 | A |
5924426 | Galazin | Jul 1999 | A |
5933527 | Ishikawa | Aug 1999 | A |
5943045 | Ikeshoji et al. | Aug 1999 | A |
5959736 | Theuerman et al. | Sep 1999 | A |
6000407 | Galazin | Dec 1999 | A |
6091836 | Takano et al. | Jul 2000 | A |
6093027 | Unger et al. | Jul 2000 | A |
6233564 | Schulze, Jr. | May 2001 | B1 |
6293284 | Rigg | Sep 2001 | B1 |
6333985 | Ueda et al. | Dec 2001 | B1 |
6338349 | Robinson et al. | Jan 2002 | B1 |
6368113 | Unger et al. | Apr 2002 | B1 |
6412658 | Bartholomew et al. | Jul 2002 | B1 |
6496594 | Prokoski | Dec 2002 | B1 |
6502583 | Utsugi | Jan 2003 | B1 |
6571003 | Hillebrand et al. | May 2003 | B1 |
Number | Date | Country |
---|---|---|
8-62201 | Mar 1996 | JP |
10-075823 | Mar 1998 | JP |
10-255066 | Sep 1998 | JP |
10-289303 | Oct 1998 | JP |