Image analysis – Pattern recognition – Feature extraction
Reexamination Certificate
2006-07-12
2009-10-27
Dang, Duy M (Department: 2624)
Image analysis
Pattern recognition
Feature extraction
C382S162000, C700S259000
Reexamination Certificate
active
07609892
ABSTRACT:
The process captures a plurality of images under a light source whose luminance varies over time, such as a fluorescent lamp, under such an imaging condition that a plurality of images that are different from one another in terms of light source conditions can be captured (S11). The process detects a temporal luminance variation from the plurality of captured images (S12), estimates a shadow area by using the temporal luminance variation (S13), and performs an image process such as a process of synthesizing a linearized image or an image segmentation based on optical characteristics (S14).
REFERENCES:
patent: 4873651 (1989-10-01), Raviv
patent: 7039222 (2006-05-01), Simon et al.
patent: 02-135986 (1990-05-01), None
patent: 10-162146 (1998-06-01), None
patent: 11-265440 (1999-09-01), None
patent: 2002-117413 (2002-04-01), None
patent: 2002-197466 (2002-07-01), None
patent: 2002-262180 (2002-09-01), None
patent: 2004-021373 (2004-01-01), None
Mori et al. (“Estimation of Object Color, Light Source Color, and Direction by Using a Cuboid,” System and Computers in Japan, vol. 36, No. 12, 2005, Translated from Denshi Joho Tsushin Gakkai Ronbunshi, vol. J87-DII, No. 10, Oct. 2004, pp. 1973-1982, © 2005 Wiley Periodicals, Inc. pp. 1-10).
Atsuhiko Banno et al., “Removing Specularities of Vehicles from Image Sequences by using Spacio-Temporal Images taken by a Moving Camera,” Information Processing Society of Japan Technical Report, CVIM, 2003-CVIM-141, pp. 17-23, 2003.
Amnon Shashua, “Geometry and Photometry in 3D Visual Recognition,” Ph.D. thesis, Dept. of Brain and Cognitive Sciences, MIT, 1992.
Martin A. Fischler et al., “Random Sample Consensus: A Paradigm for Model Fitting with Applications to Image Analysis and Automated Cartography,” Communications of the ACM, vol. 24, Issue 6, pp. 381-395, 1981.
Hideki Hayakawa, “Photometric Stereo under a light source with arbitrary motion,” Journal of the Optical Society of America A, vol. 11, pp. 3079-3089, 1994.
Satoshi Sato et al., “Evaluation of Photometric Linearization of images obtained under Point Light Source,” Information Processing Society of Japan Technical Report 2004-CVIM-145, pp. 151-156, 2004.
Takahiro Okabe et al., “Effects of Image Segmentation for Approximating Object Appearance under Near Lighting,” Technical Report of the Institute of Electronics, Information and Communication Engineers, PRMU 2004-148, pp. 1-6, 2004.
Katsuki Mori et al., “Estimation of Object Color, Light-Source Color and Light-Source Direction Using Rectangular Solid”, Journal of Institute of Electronics, Information and Communication Engineers, pp. 1973-1982, vol. J87-D-2, No. 10, Oct. 1, 2004, Japan.
Kazutoyo Takata et al., “PTZ Camera o Mochiita Buttai Kenshutsu no tameno Gazo no Senkeika ni yoru Yosoku Haikei Gazo Seisei,” “Predicting a Background Image Using Photometric Linearization for a PTZ Camera”, Advanced Technology Research Laboratories, Matsushita Electric Industrial Co., Ltd., Information Processing Society of Japan Kenkyu Hokoku (2005-CVIM-148), Mar. 3, 2005, vol. 2005, No. 18, pp. 221 to 226.
Akihiro Okumura et al., “Moving Object Detection in the Open Air Environment,” Meeting on Image Recognition and Understanding (MIRU 2000), vol. II, pp. 307-312, 2000 and a partial translation thereof.
Yasunori Ishii et al., “Photometric Linearization Based on Classification of Photometric Factors,” Journal of Information Processing Society of Japan, vol. 44, No. SIG5 (CVIM6), pp. 11-21, 2003.
Shinichiro Haruyama, “Visible Light Communication,” Journal of the Institute of Electronics, Information and Communication Engineers, A, vol. J86-A, No. 12, pp. 1284-1291, 2003 and a partial translation thereof.
Tsutomu Tokunaga et al., “Development of a New Driving Method for AC-PDPs,” Pioneer R&D, vol. 11, No. 1, pp. 1-12, 2003.
Jianbo Shi et al., “Good Features to Track,” IEEE Conference on Computer Vision and Pattern Recognition, pp. 593-600, 1994.
Kanamori Katsuhiro
Nobori Kunio
Sato Satoshi
Dang Duy M
Harness & Dickey & Pierce P.L.C.
Panasonic Corporation
LandOfFree
Image processing method, image processing system, and image... does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Image processing method, image processing system, and image..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Image processing method, image processing system, and image... will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-4056506