The Surface Geometry of the Single Texture Object Recovery based on A Single Image
The method of surface geometry of object recovery mentioned in this paper can gain 3D dimensions of objects surface geometry only using a single image on the basis of brightness change. In this paper, the background knowledge and the methods related to SFS are briefly introduced. Based on the analysis and comparison of various reconstruction algorithms, this paper gives a new method of surface geometry recovery of objects from a single image. It is more simple and applicable. Using this method, hardware equipments only include image pick-up system and a computer. The operation mode is the uncomplicated principle of optical lens imaging. The core idea of this research is using image shading to recover surface geometry of objects. The shading is the 3D cues left in 2D image. In the coordinates of light source, the surface normal vectors corresponding to every pixel are calculated. Then these vectors are converted to the coordinates of image through the coordinate conversion, so surface geometry of objects are gained. This paper also analyzed the precision of the 3D recovery results.
computer vision image processing SFS surface geometry reeovery
Lijing Zhang Xufeng Li
Information & Network Management Center North China Electric Power University Baoding,China Department of Computer Science North China Electric Power University Baoding,China
国际会议
The 2nd IEEE International Conference on Advanced Computer Control(第二届先进计算机控制国际会议 ICACC 2010)
沈阳
英文
652-655
2010-03-27（万方平台首次上网日期，不代表论文的发表时间）