Boundary Cues for 3D Object Shape Recovery
- 1 June 2013
- conference paper
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 2163-2170
- https://doi.org/10.1109/cvpr.2013.281
Abstract
Early work in computer vision considered a host of geometric cues for both shape reconstruction and recognition. However, since then, the vision community has focused heavily on shading cues for reconstruction, and moved towards data-driven approaches for recognition. In this paper, we reconsider these perhaps overlooked "boundary" cues (such as self occlusions and folds in a surface), as well as many other established constraints for shape reconstruction. In a variety of user studies and quantitative tasks, we evaluate how well these cues inform shape reconstruction (relative to each other) in terms of both shape quality and shape recognition. Our findings suggest many new directions for future research in shape reconstruction, such as automatic boundary cue detection and relaxing assumptions in shape from shading (e.g. orthographic projection, Lambertian surfaces).Keywords
This publication has 14 references indexed in Scilit:
- Shape, albedo, and illumination from a single image of an unknown objectPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2012
- Efficient Additive Kernels via Explicit Feature MapsIEEE Transactions on Pattern Analysis and Machine Intelligence, 2012
- Indoor scene segmentation using a structured light sensorPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2011
- Depth kernel descriptors for object recognitionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2011
- VlfeatPublished by Association for Computing Machinery (ACM) ,2010
- Object Detection with Discriminatively Trained Part-Based ModelsIeee Transactions On Pattern Analysis and Machine Intelligence, 2009
- Groups of Adjacent Contour Segments for Object DetectionIeee Transactions On Pattern Analysis and Machine Intelligence, 2007
- Object Recognition in the Geometric Era: A RetrospectiveLecture Notes in Computer Science, 2006
- Recovering three-dimensional shape from a single image of curved objectsIeee Transactions On Pattern Analysis and Machine Intelligence, 1989
- What Does the Occluding Contour Tell Us about Solid Shape?Perception, 1984