— Robust object detection is a critical skill for robotic applications in complex environments like homes and offices. In this paper we propose a method for using multiple camer...
Edge detection is one of the most studied problems in computer vision, yet it remains a very challenging task. It is difficult since often the decision for an edge cannot be made ...
Driven by many real applications, in this paper we study the problem of similarity search with implicit object features; that is, the features of each object are not pre-computed/e...
Yi Luo, Zheng Liu, Xuemin Lin, Wei Wang 0011, Jeff...
—In this paper, we explore a new data mining capability that involves mining path traversal patterns in a distributed information-providing environment where documents or objects...
We propose a novel and robust model to represent and learn generic 3D object categories. We aim to solve the problem of true 3D object categorization for handling arbitrary rotati...