Pixel-Pair Occlusion Relationship Map (P2ORM): Formulation, Inference & Application
Xuchong Qiu, Yang Xiao, Chaohui Wang, Renaud Marlet
Abstract
Inference & Application","We formalize concepts around geometric occlusion in 2D images (i.e., ignoring semantics), and propose a novel unified formulation of both occlusion boundaries and occlusion orientations via a pixel-pair occlusion relation. The former provides a way to generate large-scale accurate occlusion datasets while, based on the latter, we propose a novel method for task-independent pixel-level occlusion relationship estimation from single images. Experiments on a variety of datasets demonstrate that our method outperforms existing ones on this task. To further illustrate the value of our formulation, we also propose a new depth map refinement method that consistently improve the performance of state-of-the-art monocular depth estimation methods."
BibTeX
@inproceedings{eccv2020_pixelpairocclusi,
title = {Pixel-Pair Occlusion Relationship Map (P2ORM): Formulation, Inference & Application},
author = {Xuchong Qiu and Yang Xiao and Chaohui Wang and Renaud Marlet},
booktitle = {ECCV 2020},
year = {2020}
}