A New Algorithm to Feature Detection
This paper describes a new feature detection algorithm, which bases on color and curvature. Since color provides valuable information in object recognition and description, a color invariant space is adopted instead of the gray space. With this method, the distinctive features extracted from images are invariant to image scale and rotation. To reduce the computational complexity and improve the quality of detection, the cascade filtering approach is employed. Details of the new feature descriptor are described, along with test results.
feature detection color curvature descriptor
Xingwei XU Haiying WANG
Beijing Key Laboratory of Network System and Network Culture Beijing University of Posts and Telecommunications Beijing 100876, China
国际会议
哈尔滨
英文
699-703
2011-12-24（万方平台首次上网日期，不代表论文的发表时间）