Cast shadow segmentation using invariant color features

By E. Salvador, Andrea Cavallaro, Touradj Ebrahimi. Computer Vision and Image Understanding, 2004

388 citations recorded by the source corpus.

Subfields: Atomic and Molecular Physics, and Optics, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/cb5acd114cd558d1bfdbd5b4feceda411ebad546

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Mohammed Bennamoun
2. Ferdous Sohel
3. Salman Hameed Khan
4. Brian C. Lovell
5. Conrad Sanderson
6. Roberto B. Togneri
7. Andres Sanin
8. Jun Liu

Citations in the corpus

• Shadow detection: A survey and comparative evaluation of recent methods (2012, background): “HSV [7], c1c2c3 [36], YUV [6], normalised RGB [4]), or a combination of them [41].”
• Automatic Feature Learning for Robust Shadow Detection (2014, methodology): “One of the most popular methods to detect shadows is to use a variety of shadow variant and invariant cues to capture the statistical and deterministic characteristics of shadows [28, 15, 12, 9, 22].”