This paper addresses the problem of object detection and recognition in complex scenes, where objects are partially occluded. The approach presented herein is based on the hypothe...
When building an application that requires object class recognition, having enough data to learn from is critical for good performance, and can easily determine the success or fai...
A new theoretical development is presented for handling the over-segmentation problem in partitioning-based connected openings. The definition we propose treats singletons generat...
“diorama table “ is an interactive table installation. People place physical objects on the table and projected elements such as trains, cars, houses, and trees appear and are...
In this paper, a novel object class detection method based on 3D object modeling is presented. Instead of using a complicated mechanism for relating multiple 2D training views, th...