There is a growing interest in sensorymotor integration for realizing new behavior of intelligent robots and there must be some processing architectures integrated with the detection function. When viewed from the system as a whole, a parallel processing architecture is produced in which a part of the processing is distributed among the sensors. As a result of this, it is strongly required that...

This paper discusses the development of algorithms for parallel interpretation-tree model matching for 3-D computer vision applications such as object recognition. The algorithms are developed with a prototyping approach using ProSet-Linda. ProSet is a procedural pro-totyping language based on the theory of nite sets. The coordination language Linda provides a distributed shared memory model, c...

The use of robots in dynamic and unstructured environments poses difficult challenges for machine vision. The vision systems for such robots must report changes in the world quickly and must deal with objects that have not been previously seen or specified. A promising approach to building such vision systems is to construct generally applicable, modular vision services that compute summarizati...

Thermo vision are used in military, police custom traffic control, industrial and other specific applications for collecting and processing thermo visual information from infrared images. There is a problem in the steps of implementation of the developed methods and algorithms for infrared image processing in real time practical applications of thermo vision systems. Here is proposed to exploit...

We suggest an efficient real-time method for removing occlusions when synthesizing intermediate views from two stereo images by stereo matching algorithm. The proposed method can carry out the correction of noise resulting from stereo matching, removal of occlusions to achieve high fidelity rendering, and parallel computing to achieve realtime synthesis. The proposed algorithm is compared with ...

 Parallel Processing Considerations for Image Recognition Tasks

Introduction Parallel Genetic Algorithms (PGAs) have frequently been cited as an important area of research as they provide a means of rapidly developing a solution to a wide range of problems. Real-time image analysis is one of the areas of research which would particularly benefit from PGAs, however such algorithms are generally simulated on conventional computers or are designed for expensiv...