Title :
Combining multi-view stereo and super resolution in a unified framework
Author :
Haesol Park ; Kyoung Mu Lee ; Sang Uk Lee
Author_Institution :
Seoul Nat. Univ., Seoul, South Korea
Abstract :
In multi-view stereo setting, pixel correspondence problem and super resolution problem are inter-related in a sense that the result of each problem could help to solve the other. In this paper, we propose a novel method to solve two problems together by optimizing a unified energy functional. Main difference from the previous works is that the consistency between high resolution images is considered along with consideration to the consistency of high-resolution and low-resolution image pair with the same viewpoint. Experimental results show that our method outperforms the naive combination of single image super resolution and multi-view stereo method.
Keywords :
image resolution; optimisation; stereo image processing; image super resolution problem; multiview stereo image processing; optimization; pixel correspondence problem; unified energy functional; Computer vision; Energy resolution; Image reconstruction; Image resolution; Interpolation; Optimization; Stereo vision;
Conference_Titel :
Signal & Information Processing Association Annual Summit and Conference (APSIPA ASC), 2012 Asia-Pacific
Conference_Location :
Hollywood, CA
Print_ISBN :
978-1-4673-4863-8