Title :
Efficient color object segmentation using the dichromatic reflection model
Author :
Kravtchenko, Vladimir ; Little, James J.
Author_Institution :
Dept. of Comput. Sci., British Columbia Univ., Vancouver, BC, Canada
Abstract :
The goal of our work is efficient color object segmentation from a sequence of live images for use in real-time applications including object tracking, system navigation, and material inspection. A novel, compact, look-up table color representation of a dielectric object that models the behavior of a color cluster, yields real-time performance, accounts for non-white illumination, shadows, highlights, and variable viewing and camera operating conditions is proposed
Keywords :
computer vision; image colour analysis; image representation; image segmentation; image sequences; light reflection; real-time systems; table lookup; tracking; camera operating conditions; color cluster; dichromatic reflection model; dielectric object; efficient color object segmentation; highlights; live image sequence; look-up table color representation; material inspection; non-white illumination; object tracking; real-time applications; shadows; system navigation; variable viewing; Application software; Cameras; Computer science; Dielectrics; Image segmentation; Lighting; Object segmentation; Pixel; Reflection; Robustness;
Conference_Titel :
Communications, Computers and Signal Processing, 1999 IEEE Pacific Rim Conference on
Conference_Location :
Victoria, BC
Print_ISBN :
0-7803-5582-2
DOI :
10.1109/PACRIM.1999.799485
