# Stereo Matching With Color-Weighted Correlation, Hierarchical Belief Propagation And Occlusion Handling

arXiv: https://arxiv.org/abs/1708.07987 · HTML: https://mlsanity.com/paper/1708.07987/

## Key facts

- Cited by 13 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 26 Aug 2017.

## Built on by (most cited first, 13 of 13)

- [Practical Stereo Matching via Cascaded Recurrent Network with Adaptive Correlation](https://mlsanity.com/paper/2203.11483/) (2022)
- [VoRTX: Volumetric 3D Reconstruction With Transformers for Voxelwise View Selection and Fusion](https://mlsanity.com/paper/2112.00236/) (2021)
- [Learning Depth Estimation for Transparent and Mirror Surfaces](https://mlsanity.com/paper/2307.15052/) (2023)
- [Match-Stereo-Videos: Bidirectional Alignment for Consistent Dynamic Stereo Matching](https://mlsanity.com/paper/2403.10755/) (2024)
- [Active Stereo Without Pattern Projector](https://mlsanity.com/paper/2309.12315/) (2023)
- [Exploiting Correspondences with All-pairs Correlations for Multi-view Depth Estimation](https://mlsanity.com/paper/2205.02481/) (2022)
- [A Novel Factor Graph-Based Optimization Technique for Stereo Correspondence Estimation](https://mlsanity.com/paper/2109.11077/) (2021)
- [Stereo Matching with Cost Volume based Sparse Disparity Propagation](https://mlsanity.com/paper/2201.11937/) (2022)
- [Geometric Processing for Image-based 3D Object Modeling](https://mlsanity.com/paper/2106.14307/) (2021)
- [Multi-Resolution Factor Graph Based Stereo Correspondence Algorithm](https://mlsanity.com/paper/2202.01309/) (2022)
- [Real-Time High-Quality Stereo Matching System on a GPU](https://mlsanity.com/paper/2212.00488/) (2022)
- [Inter-View Depth Consistency Testing in Depth Difference Subspace](https://mlsanity.com/paper/2301.11752/) (2023)
- [Revisiting Stereo Triangulation in UAV Distance Estimation](https://mlsanity.com/paper/2306.08939/) (2023)

## Abstract (arXiv)

In this paper, we contrive a stereo matching algorithm with careful handling of disparity, discontinuity and occlusion. This algorithm works a worldwide matching stereo model which is based on minimization of energy. The global energy comprises two terms, firstly the data term and secondly the smoothness term. The data term is approximated by a color-weighted correlation, then refined in obstruct and low-texture areas in many applications of hierarchical loopy belief propagation algorithm. The results during the experiment are evaluated on the Middlebury data sets, showing that out algorithm is the top performer among all the algorithms listed there