Three-dimensional (3D) image processing provides a useful tool for machine vision
applications. Typically a 3D vision system is divided into data acquisition, low-level …

In the real world, visual learning is supposed to be a robust and continuous process. All
available visual data is not equally important; in the case of occlusions or other undesirable …

In this paper we propose a robust method for recognition and pose determination of 3-D
objects using range images in the eigenspace approach. Instead of computing the …

Human being recognizes the physical world by intcgrating a grcat variety of sensory inputs,
the information acquired by their own action, and their knowledge of the world using …

This paper presents a bibliography of nearly 2150 references related to computer vision and
image analysis, arranged by subject matter. The topics covered include computational …

A novel algorithm is introduced to estimate the pose of objects from sparse range data. Pose
determination is tackled by employing the ICP algorithm to find corresponding local minima …

Standard approaches to recognition using parametric eigenspaces have been designed
under the assumption that the training images and the input images to be recognized are of …

In contrast to the use of fixed-length decision window for analyzing the stream of audio
frames seen in many audio event detection applications, a variable-sized decision window …

In this paper, we describe an algorithm that estimates the cut quality of the crown patterns of
diamonds based on machine vision. To accurately extract the features of the edges of …

Range images are useful data in object recognition and pose detection. Most object
recognition and pose detection techniques utilizing range images compare the geometrical …