Current feature-based object recognition methods use information derived from local image patches. For robustness, features are engineered for invariance to various transformation...
The appearance of an object is composed of local structure. This local structure can be described and characterized by a vector of local features measured by local operators such a...
In this paper, we propose novel blur and similarity transform (i.e. rotation, scaling and translation) invariant features for the recognition of objects in images. The features ar...
— There has been significant progress recently in object recognition research, but many of the current approaches still fail for object classes with few distinctive features, an...
Color object recognition methods that are based on image retrieval algorithms can handle changes of illumination via image normalization, e.g. simple color-channel-normalization1 ...