Collision detection is essential for many applications involving simulation, behavior and animation. However, it has been regarded as a computationallydemanding task and is often ...
Thomas C. Hudson, Ming C. Lin, Jonathan D. Cohen, ...
Artificial Neural Networks(ANNS) have top level of capability to progress the estimation of cracks in metal tubes. The aim of this paper is to propose an algorithm to identify mod...
In recent years, local pattern based object detection and recognition have attracted increasing interest in computer vision research community. However, to our best knowledge no p...
Yadong Mu, Shuicheng Yan, Yi Liu, Thomas S. Huang,...
This paper describes a set of techniques developed for the visualization of high-resolution volume data generated from industrial computed tomography for nondestructive testing (N...
Runzhen Huang, Kwan-Liu Ma, Patrick S. McCormick, ...
We consider the problem of detecting object contours in natural images. In many cases, local luminance changes turn out to be stronger in textured areas than on object contours. Th...