Abstract

Shadows often confound algorithms designed to solve computer vision tasks such as image segmentation, object detection and tracking. In this paper, a shadow detection and removal technique is proposed. The method requires no camera calibration or other a priori information regarding the scene. Support vector machines are used to identify shadow boundaries based on their boundary properties. This boundary information is used to identify shadowed regions in the image and then assign them the color of non-shadow neighbors of the same material.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.