Algorithms for subpixel registration
Computer Vision, Graphics, and Image Processing
A Bayesian approach to binocular stereopsis
International Journal of Computer Vision
A Pixel Dissimilarity Measure That Is Insensitive to Image Sampling
IEEE Transactions on Pattern Analysis and Machine Intelligence
Stereo Matching with Nonlinear Diffusion
International Journal of Computer Vision
International Journal of Computer Vision
Fast Approximate Energy Minimization via Graph Cuts
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
International Journal of Computer Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Symmetric Sub-Pixel Stereo Matching
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part II
Journal of Mathematical Imaging and Vision
Detailed Real-Time Urban 3D Reconstruction from Video
International Journal of Computer Vision
Coarse-to-fine stereo vision with accurate 3D boundaries
Image and Vision Computing
3D Lunar Terrain Reconstruction from Apollo Images
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part I
Efficient stereoscopic ranging via stochastic sampling of match quality
IEEE Transactions on Image Processing
Towards optimal stereo analysis of image sequences
RobVis'08 Proceedings of the 2nd international conference on Robot vision
A Bayesian formulation for sub-pixel refinement in stereo orbital imagery
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Lunar terrain and albedo reconstruction of the apollo 15 zone
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part I
Real-time spatial and depth upsampling for range data
Transactions on computational science XII
Improving sub-pixel accuracy for long range stereo
Computer Vision and Image Understanding
How Accurate Can Block Matches Be in Stereo Vision?
SIAM Journal on Imaging Sciences
Improving sub-pixel correspondence through upsampling
Computer Vision and Image Understanding
Complex correlation statistic for dense stereoscopic matching
SCIA'05 Proceedings of the 14th Scandinavian conference on Image Analysis
3D Scene Reconstruction from Multiple Spherical Stereo Pairs
International Journal of Computer Vision
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Abstract--A central issue in stereo algorithm design is the choice of matching cost. Many algorithms simply use squared or absolute intensity differences based on integer disparity steps. In this paper, we address potential problems with such approaches. We begin with a careful analysis of the properties of the continuous disparity space image (DSI) and propose several new matching cost variants based on symmetrically matching interpolated image signals. Using stereo images with ground truth, we empirically evaluate the performance of the different cost variants and show that proper sampling can yield improved matching performance.