We present a hierarchical generative model for object recognition that is constructed by weakly-supervised learning. A key component is a novel, adaptive patch feature whose width...
?We have recently proposed an approach to recognition that uses regions to determine the pose of objects while allowing for partial occlusion of the regions. Regions introduce an a...
Sparse Low-degree IMplicit (SLIM) surface [11] is a recently developed non-conforming surface representation. In this paper, a method for free-form deformation of SLIM surfaces is...
Abstract. This paper presents and investigates a set of local spacetime descriptors for representing and recognizing motion patterns in video. Following the idea of local features ...
This paper proposes a digital watermarking algorithm for 2D vector digital maps. The watermark is a robust, informed-detection watermark to be used to prevent such abuses as an in...