Local Grayvalue Invariants for Image Retrieval
IEEE Transactions on Pattern Analysis and Machine Intelligence
Saliency, Scale and Image Description
International Journal of Computer Vision
From Images to Surfaces: A Computational Study of the Human Early Visual System
From Images to Surfaces: A Computational Study of the Human Early Visual System
Scale & Affine Invariant Interest Point Detectors
International Journal of Computer Vision
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Detecting distinguished regions by saliency
SCIA'03 Proceedings of the 13th Scandinavian conference on Image analysis
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The challenge of interest point detectors is to find, in an unsupervised way, keypoints easy to extract and at the same time robust to image transformations. In this paper, we present a novel set of saliency features that takes into account the region inhomogeneity in terms of intensity and shape. The region complexity is estimated at real-time by means of the entropy of the grey-level information. On the other hand, shape information is obtained by measuring the entropy of normalized orientations. The normalization step is a key point in this process. We compare the novel complex salient regions with the state-of-the-art keypoint detectors. The new set of interest points shows robustness to a wide set of transformations and high repeatability. Besides, we show the temporal robustness of the novel salient regions in two real video sequences.