A Weighted Color MRF Model for 3D Reconstruction from a Single Image

摘要：

　　Image-based modeling problem is a tough and basic problem in computer vision and computer graphics.This paper provides an improved solution to generate a scene model from a single image based on the multi-scale Markov random field.We consider the different influence of the different color components in RGB color space when modeling through a single still image.In this paper,we proposed a weighted color model for 3D reconstruction and draw a conclusion that different color components contain different depth information,and by modifying the weight of different color components in the image we can get a better visual effects and more accurate 3D model.The output model of our solution then can be used to construct a virtual scene rapidly based on a scene image.

关键词： 3D reconstruction virtual reality image-based modeling color space

作者: Yunpeng Pan Mingquan Zhou Yachun Fan Dongdong Zhang Xia Zheng

作者单位: College of Information Science and Technology,Beijing Normal University,China

会议类型: 国际会议

会议名称: 2013中国虚拟现实大会暨ICVRV2013

会议地点: 西安

会议语种:英文

页码: 21-27

在线出版日期: 2013-09-14（万方平台首次上网日期，不代表论文的发表时间）