Learning one class at a time can be seen as an effective solution to classification problems
in which only the positive examples are easily identifiable. A kernel method to accomplish …

Object Recognition is inherently a hard problem in computer vision. Current standard object
recognition techniques require small training data sets of images and apply sophisticated …

In this paper, we describe an efficient algorithm for 3-0 scene analysis. This algorithm uses a
segmentation of the surfaces to identified into geometrical primitives, the original data being …

Abstract Model-based visual recognition systems often match groups of image features to
groups of model features to form initial hypotheses, which are then verified. In order to …

Appearance-based object recognition systems rely on training from imagery, which allows
the recognition of objects without requiting a 3D geometric model. It has been little explored …

In this paper, we present a real-time algorithm for 3D object detection in images. Our method
relies on the Ullman and Basri [13] theory which claims that the same object under different …

Few systems capable of recognizing complex objects with free-form (sculptured) surfaces
have been developed. The apparent lack of success is mainly due to the lack of a competent …

This paper is concerned with overcoming three problems associated with appearance
based matching. The first is partial occlusion; the second background variation and the third …

Similarity measurements between 3D objects and 2D images are useful for the tasks of
object recognition and classification. The authors distinguish between two types of similarity …

Salient surface features play a central role in tasks related to 3-D object recognition and
matching. There is a large body of psychophysical evidence demonstrating the perceptual …