View interpolation for image synthesis
SIGGRAPH '93 Proceedings of the 20th annual conference on Computer graphics and interactive techniques
Synthesis of Novel Views from a Single Face Image
International Journal of Computer Vision
Multidimensional Morphable Models: A Framework for Representing and Matching Object Classes
International Journal of Computer Vision
Pose space deformation: a unified approach to shape interpolation and skeleton-driven deformation
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
Introduction: Learning and Vision at CBCL
International Journal of Computer Vision - special issue on learning and vision at the center for biological and computational learning, Massachusetts Institute of Technology
Novel View Synthesis by Cascading Trilinear Tensors
IEEE Transactions on Visualization and Computer Graphics
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part I
Physically-Valid View Synthesis by Image Interplation
VSR '95 Proceedings of the IEEE Workshop on Representation of Visual Scenes
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We show that we can optimally represent the set of 2D images produced by the point features of a rigid 3D model as two lines in two high-dimensional spaces. We then decribe a working recognition system in which we represent these spaces discretely in a hash table. We can access this table at run time to find all the groups of model features that could match a group of image features, accounting for the effects of sensing error. We also use this representation of a model''s images to demonstrate significant new limitations of two other approaches to recognition: invariants, and non- accidental properties.