Extraction of stable local invariant features is very important in many computer vision applications, such as image matching, object recognition and image retrieval. Most existing...
Local invariant feature based methods have been proven to be effective in computer vision for object recognition and learning. But for an image, the number of points detected and ...
This paper describes a novel method for content extraction and scene retrieval for video sequences based on local region descriptors. The local invariant features are obtained for...
Sets of local features that are invariant to common image transformations are an effective representation to use when comparing images; current methods typically judge feature set...