In many computer vision algorithms, the well known Euclidean or SSD (sum of the squared differences) metric is prevalent and justified from a maximum likelihood perspective when t...
Qi Tian, Jie Yu, Qing Xue, Nicu Sebe, Thomas S. Hu...
Object class detection in scenes of realistic complexity remains a challenging task in computer vision. Most recent approaches focus on a single and general model for object class...
This paper considers arguments for the necessity of embodiment in cognitive vision systems. We begin by delineating the scope of cognitive vision, and follow this by a survey of t...
There is a growing interest in applying market mechanisms to tackle everyday communication problems such as communication interruptions and communication overload. Prior analytic ...
Gary Hsieh, Robert Kraut, Scott E. Hudson, Roberto...
3D vision guided manipulation of components is a key problem of industrial machine vision. In this paper, we focus on the localization and pose estimation of known industrial objec...