Relative volume constraints for single view 3D reconstruction
Toeppe E, Nieuwenhuis C, Cremers D (2013)
Publication Type: Conference contribution
Publication year: 2013
Journal
Pages Range: 177-184
Conference Proceedings Title: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Event location: USA
DOI: 10.1109/CVPR.2013.30
Abstract
We introduce the concept of relative volume constraints in order to account for insufficient information in the reconstruction of 3D objects from a single image. The key idea is to formulate a variational reconstruction approach with shape priors in form of relative depth profiles or volume ratios relating object parts. Such shape priors can easily be derived either from a user sketch or from the object's shading profile in the image. They can handle textured or shadowed object regions by propagating information. We propose a convex relaxation of the constrained optimization problem which can be solved optimally in a few seconds on graphics hardware. In contrast to existing single view reconstruction algorithms, the proposed algorithm provides substantially more flexibility to recover shape details such as self-occlusions, dents and holes, which are not visible in the object silhouette. © 2013 IEEE.
Involved external institutions
Germany (DE)How to cite
APA:
Toeppe, E., Nieuwenhuis, C., & Cremers, D. (2013). Relative volume constraints for single view 3D reconstruction. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 177-184). USA.
MLA:
Toeppe, Eno, Claudia Nieuwenhuis, and Daniel Cremers. "Relative volume constraints for single view 3D reconstruction." Proceedings of the 26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2013, USA 2013. 177-184.
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