Nonphotorealistic rendering (NPR) can help make comprehensible but simple pictures of complicated objects by employing an economy of line. But current nonphotorealistic rendering ...
Lee Markosian, Michael A. Kowalski, Daniel Goldste...
In this paper, we propose a novel method for creating a high-quality texture atlas from a 3D model and a set of calibrated images. Our method focuses on avoiding visual artifacts ...
Abstract. We study the problem of estimating the position and orientation of a calibrated camera from an image of a known scene. A common problem in camera pose estimation is the e...
We present a hierarchical system for object recognition that models neural mechanisms of visual processing identified in the mammalian ventral stream. The system is composed of ne...
Abstract. This work describes an evolutionary approach to texture segmentation, a long-standing and important problem in computer vision. The difficulty of the problem can be relat...