Geotensity: Combining Motion and Lighting for 3D Surface Reconstruction

Authors:
Atsuto Maki;Mutsumi Watanabe;Charles Wiles
Affiliations:
Toshiba Corporation, Corporate Research and Development Center, 1 Komukai-Toshiba-cho, Saiwai-ku, Kawasaki, 212-8582 Japan. atsuto.maki@toshiba.co.jp;Toshiba Corporation, Corporate Research and Development Center, 1 Komukai-Toshiba-cho, Saiwai-ku, Kawasaki, 212-8582 Japan;Toshiba Corporation, Corporate Research and Development Center, 1 Komukai-Toshiba-cho, Saiwai-ku, Kawasaki, 212-8582 Japan
Venue:
International Journal of Computer Vision
Year:
2002

Citing 12
Cited 6

Integrability disambiguates surface recovery in two-image photometric stereo

International Journal of Computer Vision
Photometric Motion

IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape and motion from image streams under orthography: a factorization method

International Journal of Computer Vision
Geometric invariance in computer vision

Geometric invariance in computer vision
Geometry and photometry in three-dimensional visual recognition

Geometry and photometry in three-dimensional visual recognition
Three-dimensional computer vision: a geometric viewpoint

Three-dimensional computer vision: a geometric viewpoint
Object-centered surface reconstruction: combining multi-image stereo and shading

International Journal of Computer Vision
Hyperpatches for 3D Model Acquisition and Tracking

IEEE Transactions on Pattern Analysis and Machine Intelligence
3D Model Acquisition from Extended Image Sequences

ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume II - Volume II
What is the set of images of an object under all possible lighting conditions?

CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
Geotensity: Combining Motion and Lighting for 3D Surface Reconstruction

ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Plenoptic Image Editing

ICCV '98 Proceedings of the Sixth International Conference on Computer Vision

3-D Depth Reconstruction from a Single Still Image

International Journal of Computer Vision
Make3D: depth perception from a single still image

AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 3
A close-form iterative algorithm for depth inferring from a single image

ECCV'10 Proceedings of the 11th European conference on Computer vision: Part V
3D shape recovery of smooth surfaces: dropping the fixed viewpoint assumption

ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part I
3D surface reconstruction of a moving object in the presence of specular reflection

ICIAP'05 Proceedings of the 13th international conference on Image Analysis and Processing
Depth recovery from a single defocused image based on depth locally consistency

Proceedings of the Fifth International Conference on Internet Multimedia Computing and Service

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper is about automatically reconstructing the full 3D surface of an object observed in motion by a single static camera. Based on the two paradigms, structure from motion and linear intensity subspaces, we introduce the geotensity constraint that governs the relationship between four or more images of a moving object. We show that it is possible in theory to solve for 3D Lambertian surface structure for the case of a single point light source and propose that a solution exists for an arbitrary number point light sources. The surface may or may not be textured. We then give an example of automatic surface reconstruction of a face under a point light source using arbitrary unknown object motion and a single fixed camera.