Titlebook: Recent Developments in Computer Vision; Second Asian Confere Stan Z. Li,Dinesh P. Mital,Han Wang Conference proceedings 1996 Springer-Verla

CAB

Active stereo vision system with foveated wide angle lenses,cilitates active vision algorithms for motion analysis, object identification, and precise fixation. A pair of such lenses are mounted on a specially designed active stereo vision platform. It is compact and light so that it can be mounted on a mobile robot or a manipulator. A real time stereo track

肉身

Creditee

0302-9743 ision, ACCV ‘95, held in December 1995 in Singapore..The fifteen leading researchers acting as session organizers at the ACCV ‘95 solicited and reviewed a unique collection of 56 invited papers presented in this volume. Together, these papers competently reflect the state-of-the-art developments in

chastise

Optical-flow estimation while preserving its discontinuities: A variational approach,terative scheme to solve the associated non-linear Euler-Lagrange equations. The second solution introduces dual variables so that the minimization problem becomes a quadratic or a convex functional minimization problem. Promising experimental results on synthetic and real image sequences will illustrate the capabilities of this approach.

可商量

谎言

Modeling structured environments using robot vision,a structured scene as imaged by a single wide angle lens CCD camera while navigating is considered and evaluated. Finally, we discuss another navigation system that uses a stereo pair of fish-eye lenses, and discuss the merits of such a system over some of the other implementations for navigation and modeling of the scene.

modest

A control theoretical approach to active vision,les has been designed and implemented. The system can operate at a speed of 7 Hz is fairly general settings. Experiments with the implemented system has shown that the performance of such a system is superior to the traditional 2D tracking systems.

Hdl348

Video annotation: Computers watching video,e is implicitly represented in a probabilistic manner. We believe the future of computer vision lies in the processing of video and that while much work has been devoted to the representation and manipulation of static images, we are far behind in developing tools for considering action.

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