Investigating Optical Flow Computation: From Local Methods to a Multiresolution Horn-Schunck Implementation with Bilinear Interpolation

Haytham Ziani
11/20/2025
cs.CV

No confident code implementation found for this paper.

Abstract

This paper presents an applied analysis of local and global methods, with a focus on the Horn-Schunck algorithm for optical flow computation. We explore the theoretical and practical aspects of local approaches, such as the Lucas-Kanade method, and global techniques such as Horn-Schunck. Additionally, we implement a multiresolution version of the Horn-Schunck algorithm, using bilinear interpolation and prolongation to improve accuracy and convergence. The study investigates the effectiveness of these combined strategies in estimating motion between frames, particularly under varying image conditions.

View on arXivView PDF

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. Any repos shown below are weak matches — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Similar Papers

SEA-RAFT: Simple, Efficient, Accurate RAFT for Optical Flow

84% match1 repo6832026

YOIO: You Only Iterate Once by mining and fusing multiple necessary global information in the optical flow estimation

84% match2024

Explicit Motion Disentangling for Efficient Optical Flow Estimation

84% match2026

DPFlow: Adaptive Optical Flow Estimation with a Dual-Pyramid Framework

83% match2 repos5362026

Hierarchical Flow Diffusion for Efficient Frame Interpolation

83% match1 repo12026

AccFlow: Backward Accumulation for Long-Range Optical Flow

82% match1 repo272026

Cite this paper

@article{ziani2025investigating,
  title  = {Investigating Optical Flow Computation: From Local Methods to a Multiresolution Horn-Schunck Implementation with Bilinear Interpolation},
  author = {Haytham Ziani},
  year   = {2025},
  eprint = {2511.16535},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2511.16535v1}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2511.16535.svg)](https://codeofpaper.com/paper/2511.16535)

Discussion