3-D multiview object representation for model-based object recognition
Pattern Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Object recognition by computer: the role of geometric constraints
Object recognition by computer: the role of geometric constraints
Matching two-dimensional images to multiple three-dimensional objects using view description networks
Geometric invariance in computer vision
Geometric invariance in computer vision
Perceptual Organization and Visual Recognition
Perceptual Organization and Visual Recognition
Robot Vision
Group Theoretical Methods in Image Understanding
Group Theoretical Methods in Image Understanding
Projectively Invariant Representations Using Implicit Algebraic Curves
ECCV '90 Proceedings of the First European Conference on Computer Vision
Depth Computations from Polyhedral Images
ECCV '92 Proceedings of the Second European Conference on Computer Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
On View Likelihood and Stability
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Viewpoint Planning Strategy for Determining True Angles on Polyhedral Objects by Camera Alignment
IEEE Transactions on Pattern Analysis and Machine Intelligence
Feature Mapping and View Planning with Localized Surface Parameters
Journal of Mathematical Imaging and Vision
Shape quantization and recognition with randomized trees
Neural Computation
Minimal Decomposition of Model-Based Invariants
Journal of Mathematical Imaging and Vision
A Computational Model of View Degeneracy
IEEE Transactions on Pattern Analysis and Machine Intelligence
Indexing without Invariants in 3D Object Recognition
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
Probabilistic 3D Object Recognition
International Journal of Computer Vision
Probabilistic Indexing for Object Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Thermophysical Algebraic Invariants from Infrared Imagery for Object Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Angle Densities and Recognition of 3D Objects
IEEE Transactions on Pattern Analysis and Machine Intelligence
SoftPOSIT: Simultaneous Pose and Correspondence Determination
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
Model-based object recognition using geometric invariants of points and lines
Computer Vision and Image Understanding
A Graph Based Object Description for Information Retrieval in Digital Image and Video Libraries
CBAIVL '99 Proceedings of the IEEE Workshop on Content-Based Access of Image and Video Libraries
Complete indexing strategies for sparse sensing techniques
ISATP '95 Proceedings of the 1995 IEEE International Symposium on Assembly and Task Planning
Invariance in motion analysis of videos
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
SoftPOSIT: Simultaneous Pose and Correspondence Determination
International Journal of Computer Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
International Journal of Computer Vision
Object recognition using point uncertainty regions as pose uncertainty regions
Image and Vision Computing
Segmenting, modeling, and matching video clips containing multiple moving objects
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Combining geometric and appearance priors for robust homography estimation
ECCV'10 Proceedings of the 11th European conference on computer vision conference on Computer vision: Part III
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The variation, with respect to view, of 2D features defined for projections of 3D point sets and line segments is studied. It is established that general-case view-invariants do not exist for any number of points, given true perspective, weak perspective, or orthographic projection models. Feature variation under the weak perspective approximation is then addressed. Though there are no general-case weak-perspective invariants, there are special-case invariants of practical importance. Those cited in the literature are derived from linear dependence relations and the invariance of this type of relation to linear transformation. The variation with respect to view is studied for an important set of 2D line segment features: the relative orientation, size, and position of one line segment with respect to another. The analysis includes an evaluation criterion for feature utility in terms of view-variation. This relationship is a function of both the feature and the particular configuration of 3D line segments. The use of this information in objection recognition is demonstrated for difficult discrimination tasks.