IEEE Transactions on Pattern Analysis and Machine Intelligence
Recognition by Linear Combinations of Models
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part I
3-D Shape Recovery Using Distributed Aspect Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
Distance Metric Between 3D Models and 2D Images for Recognition and Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence
View Variation of Point-Set and Line-Segment Features
IEEE Transactions on Pattern Analysis and Machine Intelligence
Similarity and Affine Invariant Distances Between 2D Point Sets
IEEE Transactions on Pattern Analysis and Machine Intelligence
Measures for Silhouettes Resemblance and Representative Silhouettes of Curved Objects
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume II - Volume II
A Computational Model of View Degeneracy
IEEE Transactions on Pattern Analysis and Machine Intelligence
PVGS '99 Proceedings of the 1999 IEEE symposium on Parallel visualization and graphics
IEEE Transactions on Pattern Analysis and Machine Intelligence
When is it Possible to Identify 3D Objects From Single Images Using Class Constraints?
International Journal of Computer Vision
A case study on automatic camera placement and motion for visualizing historical data
Proceedings of the conference on Visualization '02
IEEE Transactions on Pattern Analysis and Machine Intelligence
IWVF-4 Proceedings of the 4th International Workshop on Visual Form
A Similarity-Based Aspect-Graph Approach to 3D Object Recognition
International Journal of Computer Vision
Scene-consistent detection of feature points in video sequences
Computer Vision and Image Understanding
ACM SIGGRAPH 2005 Papers
Geometric reasoning via internet CrowdSourcing
2009 SIAM/ACM Joint Conference on Geometric and Physical Modeling
Accurate shape-based 6-DoF pose estimation of single-colored objects
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Approximation of canonical sets and their applications to 2D view simplification
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Perceptual models of viewpoint preference
ACM Transactions on Graphics (TOG)
A new 3-D model retrieval system based on aspect-transition descriptor
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part IV
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We define two measures on views: view likelihood and view stability. View likelihood measures the probability that a certain view of a given 3D object is observed; it may be used to identify typical, or "characteristic," views. View stability measures how little the image changes as the viewpoint is slightly perturbed; it may be used to identify "generic" views. Both definitions are shown to be identical up to the prior probability of camera orientations, and determined by the 2D metric used to compare images. We analytically derive the stability and likelihood measures for two feature-based 2D metrics, where the most stable and most likely view is shown to be the flattest view of the 3D shape.Incorporating view likelihood or stability in 3D object recognition and 3D reconstruction increases the chance of robust performance. In particular, we propose to use these measures to enhance 3D object recognition and 3D reconstruction algorithms, by adding a second step where the most likely solution is selected among all feasible solutions. These applications are demonstrated using simulated and real images.