Shape From Texture: Integrating Texture-Element Extraction and Surface Estimation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape and motion from image streams under orthography: a factorization method
International Journal of Computer Vision
International Journal of Computer Vision
Multiple view geometry in computer visiond
Multiple view geometry in computer visiond
Factorization Methods for Projective Structure and Motion
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
A Geometric Approach to Shape from Defocus
IEEE Transactions on Pattern Analysis and Machine Intelligence
Passive Photometric Stereo from Motion
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
Photometric Stereo with General, Unknown Lighting
International Journal of Computer Vision
Estimating 3D shape from degenerate sequences with missing data
Computer Vision and Image Understanding
Uncalibrated Factorization Using a Variable Symmetric Affine Camera
IEICE - Transactions on Information and Systems
A Self-Calibrating Method for Photogeometric Acquisition of 3D Objects
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image and Vision Computing
Bilinear factorization via augmented lagrange multipliers
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part IV
Hi-index | 0.00 |
In this paper we present a dense 3D reconstruction pipeline from monocular video sequences using jointly Photometric Stereo (PS) and Structure from Motion (SfM) approaches. The input videos are completely uncalibrated both from the multi-view geometry and photometric stereo aspects. In particular we make use of the 3D metric information computed with SfM from a set of 2D landmarks in order to solve for the bas-relief ambiguity which is intrinsic from dense PS surface estimation. The algorithm is evaluated over the CMU Multi-Pie database which contains the images of 337 subjects viewed under different lighting conditions and showing various facial expressions.