کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
526244 | 869082 | 2010 | 9 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: Omnidirectional texturing based on robust 3D registration through Euclidean reconstruction from two spherical images Omnidirectional texturing based on robust 3D registration through Euclidean reconstruction from two spherical images](/preview/png/526244.png)
We propose a semi-automatic omnidirectional texturing method that maps a spherical image onto a dense 3D model obtained by a range sensor. For accurate texturing, accurate estimation of the extrinsic parameters is inevitable. In order to estimate these parameters, we propose a robust 3D registration-based method between a dense range data set and a sparse spherical image stereo data set. For measuring the distances between the two data sets, we introduce generalized distances taking account of 3D error distributions of the stereo data. To reconstruct 3D models by images, we use two spherical images taken at arbitrary positions in arbitrary poses. Then, we propose a novel rectification method for spherical images that is derived from E matrix and facilitates the estimation of the disparities. The experimental results show that the proposed method can map the spherical image onto the dense 3D models effectively and accurately.
Journal: Computer Vision and Image Understanding - Volume 114, Issue 4, April 2010, Pages 491–499