Detection of Intensity Changes with Subpixel Accuracy Using Laplacian-Gaussian Masks
IEEE Transactions on Pattern Analysis and Machine Intelligence
Using disparity functional for stereo correspondence and surface reconstruction
Computer Vision, Graphics, and Image Processing
ACM Computing Surveys (CSUR)
Computing Visible-Surface Representations
Computing Visible-Surface Representations
Finding Edges and Lines in Images
Finding Edges and Lines in Images
Stereo Matching with Nonlinear Diffusion
International Journal of Computer Vision
Binocular Stereo from Grey-Scale Images
Journal of Mathematical Imaging and Vision
Inference of Segmented Overlapping Surfaces from Binocular Stereo
IEEE Transactions on Pattern Analysis and Machine Intelligence
Visual surface segmentation from stereo
Image and Vision Computing
A fast and robust feature-based 3D algorithm using compressed image correlation
Pattern Recognition Letters
View synthesis using stereo vision
View synthesis using stereo vision
| Hi-index | 0.14 |
An algorithm that solves the computational stereo correspondence and the surface reconstruction is presented. The algorithm integrates the reconstruction process in the correspondence analysis by means of multipass attribute matching and disparity refinement. In the matching process, the requirement of attribute similarity is relaxed with the pass number while the requirement for agreement between the predicted and the measured disparity is tightened. Disparity discontinuities and occluded areas are detected by analyzing the partial derivatives of the reconstructed disparity surface. Results on synthetic and on real stereo image pairs are reported.