Special Edition. Pattern Recognition and Image Understanding. 3. Approaches for System Buildup. 3-1 Is Image Understanding Research Useful to Industrial Vision.

Advanced Image Understanding and Autonomous Systems 1 Current Approaches to Image Understanding

The ultimate goal of most image understanding systems is to produce an unambigu-ous 3-D representation of the local visual environment. This representation can then be employed by robotic systems to eeect some meaningful action. A great deal of research eeort is concerned with the development of visual and`manipulative' representations, and their generative processes, which allow for the eeecti...

Computer Vision and Image Understanding

Learning in Computer Vision and Image Understanding

Using learning in segmentation or recognition tasks has several advantages over classical model-based techniques. These include adaptivity to noise and changing environments, as well as in many cases, a simplified system generation procedure. Yet, learning from examples introduces a new challenge getting a representative data set of examples from which to learn. Applications of learning systems...

Image Understanding – Pattern Recognition in Imaging Particle Analysis

The computational method known as “pattern recognition” has been around for many years now, beginning early in the 960’s with military uses centered upon “remote sensing” (aerial and satellite imaging). Use of these techniques then expanded into the field of medical imaging, machine vision and others. The enormous computational demands of these applications limited early use of the technologies...

Introduction to the special issue on evolutionary computer vision and image understanding