华南理工大学学报（自然科学版）2025，Vol.53Issue(11)：1-8,8.DOI:10.12141/j.issn.1000-565X.250074
基于信息熵预建遮挡掩码的光场深度估计
Light Field Depth Estimation with Information Entropy-Based Pre-Computed Occlusion Masks
摘要
Abstract
Light field cameras capture synchronized spatial-angular information of lights,offering a new paradigm for 3D visual perception.Depth estimation,as a fundamental task in light field analysis,underpins the critical ap-plications such as 3D reconstruction and visual odometry.However,occlusion-induced estimation errors remain a persistent challenge.This paper proposes an occlusion-aware depth estimation framework featuring two novel mo-dules:an entropy-based occlusion mask pre-computation method and a viewpoint screening-driven depth estimation algorithm.In the investigation,first,the light field occlusion in the polar plane diagram is modeled by analyzing the information entropy of micro-images array,and a local entropy extremum-based occlusion mask pre-computation ap-proach is constructed,thus overcoming the limitations of conventional techniques in characterizing occluded re-gions.Subsequently,viewpoint screening is employed to eliminate the interference from occluded perspectives,thus effectively reducing estimation errors and decreasing the proportion of disparity outliers exceeding 0.03 pixels compared to other methods.The core contribution of this paper lies in establishing a theoretical connection between information entropy and light field occlusion,enabling a robust occlusion-aware depth estimation framework based on the information entropy of micro-images array.Experimental results on light field benchmark dataset demon-strate that the proposed method achieves superior performance in mean absolute error and 25th error percentile.Comparative ablation studies confirm the efficacy of the entropy-driven occlusion mask,thus highlighting the criti-cal role of information entropy theory in the framework of light field depth estimation.关键词
光场成像/深度估计/信息熵/遮挡掩码Key words
light field imaging/depth estimation/information entropy/occlusion mask分类
信息技术与安全科学引用本文复制引用
陈忠,陈长锋,张宪民..基于信息熵预建遮挡掩码的光场深度估计[J].华南理工大学学报（自然科学版）,2025,53(11):1-8,8.基金项目
国家自然科学基金联合基金重点支持项目(U24A20108) Supported by the Joint Funds of the National Natural Science Foundation of China(Key Program)(U24A20108) （U24A20108）
