Rapid octree construction from image sequences
CVGIP: Image Understanding
Synthesizing realistic facial expressions from photographs
Proceedings of the 25th annual conference on Computer graphics and interactive techniques
Regularized Bundle-Adjustment to Model Heads from Image Sequences without Calibration Data
International Journal of Computer Vision
Face Recognition Based on Fitting a 3D Morphable Model
IEEE Transactions on Pattern Analysis and Machine Intelligence
Model-Based 3D Face Capture with Shape-from-Silhouettes
AMFG '03 Proceedings of the IEEE International Workshop on Analysis and Modeling of Faces and Gestures
Reflectance from Images: A Model-Based Approach for Human Faces
IEEE Transactions on Visualization and Computer Graphics
Sit straight (and tell me what I did today): a human posture alarm and activity summarization system
CARPE '05 Proceedings of the 2nd ACM workshop on Continuous archival and retrieval of personal experiences
Proceedings of the 11th international conference on Intelligent user interfaces
A planar-reflective symmetry transform for 3D shapes
ACM SIGGRAPH 2006 Papers
Fast and automatic object pose estimation for range images on the GPU
Machine Vision and Applications - Integrated Imaging and Vision Techniques for Industrial Inspection
Face recognition via direct search optimized Gabor filters
ICOSSE'06 Proceedings of the 5th WSEAS international conference on System science and simulation in engineering
Pattern Recognition Letters
SMI 2011: Full Paper: On visual complexity of 3D shapes
Computers and Graphics
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A fundamental problem in multi-view 3D face modeling is the determination of the set of optimal views (poses) required for accurate 3D shape estimation of a generic face. There is no analytical solution to this problem, instead (partial) solutions require (near) exhaustive combinatorial search, hence the inherent computational difficulty of this task. We build on our previous modeling framework [6, 8] which uses an efficient contour-based silhouette method and extend it by aggressive pruning of the view-sphere with view clustering and various imaging constraints. A multiview optimization search is performed using both model-based (eigenheads) and data-driven (visual hull) methods, yielding comparable best views. These constitute the first reported set of optimal views for 3D face shape capture and provide useful empirical guidelines for the design of 3D face recognition systems.