Understanding objects with curved surfaces from a single perspective view of boundaries
Artificial Intelligence
Machine interpretation of line drawings
Machine interpretation of line drawings
Part decomposition of objects from single view line drawings
CVGIP: Image Understanding
Shape description using geons as a 3D primitives
IAPR Proceedings of the international workshop on Visual form: analysis and recognition
Extraction of line drawing features for object recognition
Pattern Recognition
Perceptual Organization and Visual Recognition
Perceptual Organization and Visual Recognition
Computer Vision
Generating Semantic Descriptions From Drawings of Scenes With Shadows
Generating Semantic Descriptions From Drawings of Scenes With Shadows
Primal access recognition of visual objects
Primal access recognition of visual objects
Robust and Efficient Detection of Salient Convex Groups
IEEE Transactions on Pattern Analysis and Machine Intelligence
Matching 3-D Models to 2-D Images
International Journal of Computer Vision
Full Volumetric Descriptions From Three Intensity Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Performance Evaluation and Analysis of Vanishing Point Detection Techniques
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Computational Model of View Degeneracy
IEEE Transactions on Pattern Analysis and Machine Intelligence
Part-Based 3D Descriptions of Complex Objects from a Single Image
IEEE Transactions on Pattern Analysis and Machine Intelligence
Twenty Years of Document Image Analysis in PAMI
IEEE Transactions on Pattern Analysis and Machine Intelligence
3-D to 2-D Pose Determination with Regions
International Journal of Computer Vision - Special issue on computer vision research at NEC Research Institute
Symbolic Navigation with a Generic Map
Autonomous Robots
Object-level structured contour map extraction
Computer Vision and Image Understanding
Multimodal interaction in an augmented reality scenario
Proceedings of the 6th international conference on Multimodal interfaces
Generic Model Abstraction from Examples
IEEE Transactions on Pattern Analysis and Machine Intelligence
Efficient search and verification for function based classification from real range images
Computer Vision and Image Understanding
Foundations and Trends® in Computer Graphics and Vision
Qualitative part-based models in content-based image retrieval
Machine Vision and Applications
The visual active memory perspective on integrated recognition systems
Image and Vision Computing
Shape understanding system: 3D interpretation as a part of the visual concept formation
Machine Graphics & Vision International Journal
Learning function-based object classification from 3D imagery
Computer Vision and Image Understanding
Detection of unexpected multi-part objects from segmented contour maps
Pattern Recognition
Shape-from-recognition: Recognition enables meta-data transfer
Computer Vision and Image Understanding
3-D shape approximation using parametric geons
Image and Vision Computing
Polyhedral object recognition by indexing
Pattern Recognition
Object recognition through the principal component analysis of spatial relationship amongst lines
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part I
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Primal access recognition of visual objects (PARVO), a computer vision system that addresses the problem of fast and generic recognition of unexpected 3D objects from single 2D views, is considered. Recently, recognition by components (RBC), which is a new human image understanding theory, based on some psychological results, has been proposed as an explanation of how PARVO works. However, no systematic computational evaluation of its many aspects has yet been reported. The PARVO system discussed is a first step toward this goal, since its design respects and makes explicit the main assumptions of the proposed theory. It analyzes single-view 2D line drawings of 3D objects typical of the ones used in human image understanding studies. It is designed to handle partially occluded objects of different shape and dimension in various spatial orientations and locations in the image plane. The system is shown to successfully compute generic descriptions and then recognize many common man-made objects.