A note on the gradient of a multi-image
Computer Vision, Graphics, and Image Processing - Lectures notes in computer science, Vol. 201 (G. Goos and J. Hartmanis, Eds.)
IEEE Transactions on Pattern Analysis and Machine Intelligence
Scale-Space Theory in Computer Vision
Scale-Space Theory in Computer Vision
Differential Invariants for Color Images
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 1 - Volume 1
A Performance Evaluation of Local Descriptors
IEEE Transactions on Pattern Analysis and Machine Intelligence
CSIFT: A SIFT Descriptor with Color Invariant Characteristics
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
A blob detector in color images
Proceedings of the 6th ACM international conference on Image and video retrieval
Local invariant feature detectors: a survey
Foundations and Trends® in Computer Graphics and Vision
Performance evaluation of local colour invariants
Computer Vision and Image Understanding
Color Blob and line detection in scale-space
Pattern Recognition and Image Analysis
Gauss-laguerre keypoints extraction using fast hermite projection method
ICIAR'11 Proceedings of the 8th international conference on Image analysis and recognition - Volume Part I
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part IV
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An effective use of color information in the keypoints detection and descriptors construction is an open task. In the first part of the paper a novel scale-space color blob detection technique is introduced. The effectiveness of proposed technique for keypoints detection is demonstrated in comparison with grayscale detector and alternative color detector. We illustrate the importance of using color keypoints detection technique in the cases when some image features become indistinguishable in grayscale. The most important application of color blob detection scheme is to guarantee operability in the worst case. The importance of color information in descriptors construction process is demonstrated comparing the color and grayscale versions of Gauss-Laguerre keypoints descriptors.The task of matching the images connected by homography transformation was chosen to compare the quality of algorithms. It was found that the use of color information for keypoints descriptors construction for both color and grayscale keypoints detection usually enhance the matching quality. For some cases the use of color information in keypoints detection procedure further improves matching results.