Abstract
Most existing SFS techniques aim to recover accurate surface shape or normal estimates. In this paper, we opt instead to place constraints directly on the images that can be produced from the shape information, thus decoupling the smoothness constraint from the surface normal estimates. We show that this approach offers advantages over existing techniques in terms of generating plausible re-illuminated images of simple, piecewise-smooth objects under variable light conditions. Such techniques could have applications in graphics and object recognition.
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 callDisclaimer: 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.
