Continuous Visibility Feature

Guilin Liu, Yotam Gingold, Jyh-Ming Lien; The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015, pp. 1182-1190

Abstract


In this work, we propose a new type of visibility measurement named Continuous Visibility Feature (CVF). We say that a point q on the mesh is continuously visible from another point p if there exists a geodesic path connecting p and q that is entirely visible by p. In order to efficiently estimate the continuous visibility for all the vertices in a model, we propose two approaches that use specific CVF properties to avoid exhaustive visibility tests. CVF is then measured as the area of the continuously visible region. With this stronger visibility measure, we show that CVF better encodes the surface and part information of mesh than the tradition line-of-sight based visibility. For example, we show that existing segmentation algorithms can generate better segmentation results using CVF and its variants than using other visibility-based shape descriptors, such as shape diameter function. Similar to visibility and other mesh surface features, continuous visibility would have many applications.

Related Material


[pdf]
[bibtex]
@InProceedings{Liu_2015_CVPR,
author = {Liu, Guilin and Gingold, Yotam and Lien, Jyh-Ming},
title = {Continuous Visibility Feature},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2015}
}