Invariant representation in image processing

The paper discusses the role of invariance in image processing, specifically the desire to discriminate against unwanted variations in the scene while maintaining the power to tell the difference between object-intrinsic characteristics and scene-accidental conditions. It provides an analysis and references of what are directly observables in a general scene.

[1]  E Granum,et al.  Classifying the illumination condition from two light sources by color histogram assessment. , 2000, Journal of the Optical Society of America. A, Optics, image science, and vision.

[2]  Michael S. Lew,et al.  Color Based Image Retrieval , 2001 .

[3]  Theo Gevers,et al.  Classifying color transitions into shadow-geometry, illumination, highlight or material edges , 2000, Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101).

[4]  Cordelia Schmid,et al.  Local Grayvalue Invariants for Image Retrieval , 1997, IEEE Trans. Pattern Anal. Mach. Intell..

[5]  Arnold W. M. Smeulders,et al.  Color Invariance , 2001, IEEE Trans. Pattern Anal. Mach. Intell..

[6]  Graham D. Finlayson,et al.  Color in Perspective , 1996, IEEE Trans. Pattern Anal. Mach. Intell..

[7]  Steven A. Shafer,et al.  Using color to separate reflection components , 1985 .

[8]  Arnold W. M. Smeulders,et al.  Measurement of color invariants , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).

[9]  Michael Werman,et al.  Similarity and Affine Invariant Distances Between 2D Point Sets , 1995, IEEE Trans. Pattern Anal. Mach. Intell..

[10]  Tony Lindeberg,et al.  Scale-Space Theory in Computer Vision , 1993, Lecture Notes in Computer Science.

[11]  Theo Gevers,et al.  Color-Based Retrieval , 2001, Principles of Visual Information Retrieval.

[12]  Thomas S. Huang,et al.  Learning patterns from images by combining soft decisions and hard decisions , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).

[13]  Marcel Worring,et al.  Content-Based Image Retrieval at the End of the Early Years , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[14]  Arnold W. M. Smeulders,et al.  PicToSeek: combining color and shape invariant features for image retrieval , 2000, IEEE Trans. Image Process..