Object detection and recognition are an integral part of computer vision systems. In computer vision, the work begins with a breakdown of the scene into components that a computer can see and analyse.

Discovering the visual features and representations used by the brain to recognize objects is a central problem in the study of vision. Recent successes in computational models of visual recognition ...

Automated object recognition -- and more generally scene analysis -- from photographs and videos is the grand challenge of computer vision. This course presents the image, object, and scene models, as ...

Neither approach has been very satisfactory, particularly in designing object recognition systems which can handle a large number of objects. Recent interest in integrating mechanical CAD systems and ...

The state-of-the-art in object recognition has undergone dramatic changes in the ... The talk is aimed at the non-expert in computer vision with some knowledge of machine learning. While deep learning ...

Abstract: This article describes the simple step by step system, to teach object recognition and tracking in computer vision systems. Methodology is based on object recognition system complexity ...

While traditional approaches in pattern recognition and computer vision have continued to evolve, along with the advances of artificial intelligence (AI), this unique compendium presents recent ...

If a computer has only been taught to recognize an open hand, however, it will probably have no idea what a fisted hand is. Getting computer vision ... dimensional object recognition, both based ...