This paper describes recent research concerning the Active Stereo Probe (ASP) stereo vision system that combines animate oculo-motor reflexes with a novel active illumination source. Two methods for accurate surface recovery from stereo at rates approaching real time are described. Results using texture projection combined with a fast sub-pixel matching algorithm are presented. The development ...

-The term space-variant vision was introduced in the late 1980s to refer to sensor architectures based on a smooth variation of resolution across the workspace, like that of the human visual system. The use of such sensor architectures is rapidly becoming an important factor in machine vision in which the constraints of size, weight, cost and performance must be jointly optimized. The structure...

This paper discusses research-in-progress to develop a mobile, bus-mounted machine vision system for transit and traffic monitoring in urban corridors, as required by Intelligent Transportation Systems. In contrast to earlier machine vision technologies used for traffic management, which mainly rely on simple algorithms to detect certain traffic characteristics, the new proposed approach makes ...

This paper deals with the 3D structure estimation and exploration of a scene using active vision. We have used the structure from controlled motion approach to obtain a precise and robust estimation of the 3D structure of geometrical primitives. Since it involves to gaze successively on the considered primitives, we have developed perceptual strategies able to perform a succession of robust est...

Inspired by the properties of the humam visual system, a new active vision system called ESCHeR (Etl Stereo Compact Head For Robot Vision) has been recently implemented with foveated wide-angle lenses. The lenses exhibit a wide eld of view along with a space-varying resolution for facilitating both detection and close observation. However, to handle such optical properties and achieve basic eye...

The ability to autonomously acquire new knowledge through interaction with the environment is an important research topic in the field of robotics. The knowledge can only be acquired if suitable perception– action capabilities are present: a robotic system has to be able to detect, attend to and manipulate objects in its surrounding. In this paper, we present the results of our long-term work i...