A NOVEL KEYPOINT DETECTOR BASED ON SPARSE CODING
Authors:
Dilli Nishitha, Vemula Bhavani, Padmati Yamini, Dr. Janga Prasad
Page No: 230-235
Abstract:
Abstract- Most popular hand-crafted key-point detectors such as Harris corner, MSER, SIFT, SURF rely on some specific pre-designed structures for detection of corners, blobs, or junctions in an image. The very nature of pre-designed structures can be considered a source of inflexibility for these detectors in different contexts. Additionally, the performance of these detectors is also highly affected by non-uniform change in illumination. To the best of our knowledge, while there are some previous works addressing one of the two aforementioned problems, there currently lacks an efficient method to solve both simultaneously. In this paper, we propose a novel Sparse Coding based Key-point detector (SCK) which is fully invariant to affine intensity change and independent of any particular structure. The proposed detector locates a key-point in an image, based on a complexity measure calculated from the block surrounding its position.
Description:
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Volume & Issue
Volume-13,ISSUE-12
Keywords
Keywords: Sparse Coding, SCK, Preprocessing, Normalization