Object recognition is one of the key areas in computer vision which comprises of object
detection, recognition and reconstruction. The image of the object to be recognized is …

We propose a new method for 3D object recognition which uses segment-based stereo
vision. An object is identified in a cluttered environment and its position and orientation (6 …

This paper presents a method of 3D object mapping using a binocular stereo camera. The
method employs edge points as map element to represent detailed shape and applies a …

A system for robot vision is proposed that integrates a 3-D object recognition task and a 3-D
object tracking task, enabling real-time 6-DOF localization of a known continuously moving …

Local appearance models in the neighborhood of salient image features, together with local
and/or global geometric constraints, serve as the basis for several recent and effective …

Viewpoint independent recognition of free-form objects and estimation of their exact position
are a complex procedure with applications in robotics, artificial intelligence, computer vision …

Object recognition is a basic application domain in computer vision. For many decades, it is
considered as an area of extensive research especially in 3D. 3D object recognition can be …

We propose a new method to recognize 3D objects using segment-based stereo vision.
Predefined object models are compared with 3D boundaries which are extracted by the …

In this paper, we propose a practical object recognition system which consists of two
functional modules. The first is object extraction module using a range image, and the …

Human has the ability to roughly estimate the distance and size of an object because of the
stereo vision of human's eyes. In this project, we proposed to utilize stereo vision system to …