Shadow Identification

Jiang, Caixia; Ward, Matthew O.

doi:10.1109/CVPR.1992.223128

Shadow Identification

Caixia Jiang, Matthew O. Ward

CVPR 1992 pp. 606-612

doi:10.1109/CVPR.1992.223128 /cvpr/1992/jiang1992cvpr-shadow/

Abstract

A shadow identification and classification method for real images is developed. The method is based on extensive analysis of shadow intensity and shadow geometry. The procedure for identifying shadows is divided into low-level, middle-level, and high-level processes. The low-level extracts dark regions from images. The middle-level process performs feature analysis on dark regions, including detecting vertices on the outlines of dark regions, identifying penumbrae in dark regions, assigning the subregions in dark regions as self-shadows and cast shadows, and finding object regions adjacent to dark regions. The high-level process integrates the information derived from the previous processes and confirms shadows among the dark regions. >

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Cite

Text

Jiang and Ward. "Shadow Identification." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1992. doi:10.1109/CVPR.1992.223128

Markdown

[Jiang and Ward. "Shadow Identification." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1992.](https://mlanthology.org/cvpr/1992/jiang1992cvpr-shadow/) doi:10.1109/CVPR.1992.223128

BibTeX

@inproceedings{jiang1992cvpr-shadow,
  title     = {{Shadow Identification}},
  author    = {Jiang, Caixia and Ward, Matthew O.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1992},
  pages     = {606-612},
  doi       = {10.1109/CVPR.1992.223128},
  url       = {https://mlanthology.org/cvpr/1992/jiang1992cvpr-shadow/}
}