ANN: A Library for Approximate Nearest Neighbor Searching

PMBP: PatchMatch Belief Propagation

PMBP is a C++ implementation of the PMBP (PatchMatch Belief Propagation) algorithm for correspondence field estimation, originally published at BMVC 2012. It provides a framework for solving stereo matching and optical flow problems by combining the efficiency of PatchMatch with the robustness of Belief Propagation using particle resampling. ## Key Features - **Particle-Based Belief Propagation** — Implements particle-based message passing with resampling for efficient inference - **Modular Architecture** — Base classes allow easy extension for custom correspondence problems - **Stereo & Optical Flow Examples** — Includes ready-to-use implementations for stereo matching and 2D optical flow - **Energy Function Customization** — Provides hooks for defining custom unary and pairwise energy functions - **Particle Management** — Supports particle initialization, propagation, and randomization through abstract methods ## Philosophy PMBP follows a research-oriented philosophy, providing a clean, extensible implementation of the algorithm that can be adapted to various correspondence problems beyond the included examples.