single and stereo calibration, disparity calculation.
A heterogeneous and fully parallel stereo matching algorithm for depth estimation, implementing a local adaptive support weight (ADSW) Guided Image Filter (GIF) cost aggregation stage. Developed in both C++ and OpenCL.
Code for 'Segment-based Disparity Refinement with Occlusion Handling for Stereo Matching'
Three-Filters-to-Normal: An Accurate and Ultrafast Surface Normal Estimator (RAL+ICRA'21)
Code for "Unsupervised Adaptation for Deep Stereo" - ICCV17
Implementation of simple block matching, block matching with dynamic programming and Stereo Matching using Belief Propagation algorithm for stereo disparity estimation
Disparity maps using various algorithms
C++ example codes for camera calibration, rectification and to build disparity maps
Compute disparity map from stereo image with semi global matching algorithm.
ROS package for local obstacle avoidance using stereo RGB cameras on the Jackal
Learning from scratch a confidence measure
Stereo 3D Reconstruction for two views
Object tracking with OpenCV based on stereo camera images
Pothole Detection Based on Disparity Transformation and Road Surface Modeling (T-IP)
C++ implementation of PatchMatch Stereo for images
A system which includes a pair of stereo-cameras for 3D reconstruction, object detection and depth analysis with the help of disparity maps.
A python implementation of computing depth from stereo pair of images.
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