This paper presents a novel object recognition approach based on range images. Due to its insensitivity to illumination, range data is well suited for reliable silhouette extracti...
We present a novel categorical object detection scheme that uses only local contour-based features. A two-stage, partially supervised learning architecture is proposed: a rudiment...
We present an efficient multi stage approach to detection of deformable objects in real, cluttered images given a single or few hand drawn examples as models. The method handles de...
A complete processing chain for visual object recognition is described in this paper. The system automatically detects individual objects on an assembly line, identifies their typ...
Object recognition has reached a level where we can identify a large number of previously seen and known objects. However, the more challenging and important task of categorizing ...