Proceedings of the 27th annual conference on Computer graphics and interactive techniques
Real-Time Consensus-Based Scene Reconstruction Using Commodity Graphics Hardware
PG '02 Proceedings of the 10th Pacific Conference on Computer Graphics and Applications
Accurate and Efficient Stereo Processing by Semi-Global Matching and Mutual Information
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
Stereo Processing by Semiglobal Matching and Mutual Information
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Visualization and Computer Graphics
Super resolution of images of 3D scenecs
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part II
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A method for synthesizing high-quality free-viewpoint images from a set of multi-view images is presented. First, an accurate depth map is estimated from a given target viewpoint using modified semi-global stereo matching. Then, a high-resolution image from that viewpoint is obtained through super-resolution reconstruction. The depth estimation results from the first step are used for the second step. First, the depth values are used to associate pixels between the input images and the latent high-resolution image. Second, the pixel-wise reliabilities of the depth information are used for regularization to adaptively control the strength of the super-resolution reconstruction. Experimental results using real images showed the effectiveness of our method.