On the geometric interpretation of image contours
Artificial Intelligence - Special issue on geometric reasoning
Invariant Properties of Straight Homogeneous Generalized Cylinders and Their Contours
IEEE Transactions on Pattern Analysis and Machine Intelligence
Line-Drawing Interpretation: Bilateral Symmetry
IEEE Transactions on Pattern Analysis and Machine Intelligence
Solid shape
IEEE Transactions on Pattern Analysis and Machine Intelligence
B-spline contour representation and symmetry detection
ECCV 90 Proceedings of the first european conference on Computer vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Perceptual Organization for Scene Segmentation and Description
IEEE Transactions on Pattern Analysis and Machine Intelligence
Finding and recovering SHGC objects in an edge image
CVGIP: Image Understanding
Segmentation and recovery of SHGCs from a real intensity image
ECCV '94 Proceedings of the third European conference on Computer vision (vol. 1)
Viewpoint-invariant representation of generalized cylinders using the symmetry set
BMVC 94 Proceedings of the conference on British machine vision (vol. 2)
Volumetric descriptions from a single intensity image
International Journal of Computer Vision - Special issue on computer vision research at the University of Southern California
Perception of 3-D Surfaces from 2-D Contours
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
Using Invariance and Quasi-Invariance for the Segmentation and Recovery of Curved Objects
Proceedings of the Second Joint European - US Workshop on Applications of Invariance in Computer Vision
Quasi-Invariant Parameterisations and Matching of Curves in Images
International Journal of Computer Vision
Part-Based 3D Descriptions of Complex Objects from a Single Image
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Shock Scaffold for Representing 3D Shape
IWVF-4 Proceedings of the 4th International Workshop on Visual Form
Quasi-Invariant Parameterisations and Their Applications in Computer Vision
Shape, Contour and Grouping in Computer Vision
A bin picking system based on depth from defocus
Machine Vision and Applications
Evidential Reasoning for Object Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Formal Classification of 3D Medial Axis Points and Their Local Geometry
IEEE Transactions on Pattern Analysis and Machine Intelligence
Inferior Temporal Neurons Show Greater Sensitivity to Nonaccidental than to Metric Shape Differences
Journal of Cognitive Neuroscience
The Medial Scaffold of 3D Unorganized Point Clouds
IEEE Transactions on Pattern Analysis and Machine Intelligence
Technical section: A potential-based generalized cylinder representation
Computers and Graphics
Degen generalized cylinders and their properties
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
Reconstruction of canal surfaces from single images under exact perspective
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
Cochlea modelling: clinical challenges and tubular extraction
AI'04 Proceedings of the 17th Australian joint conference on Advances in Artificial Intelligence
A novel tool for segmenting 3D medical images based on generalized cylinders and active surfaces
Computer Methods and Programs in Biomedicine
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We address the recovery of object-level 3-D descriptions of some classes of curved-axis generalized cylinders. For this, the first part of the paper analyzes the projective properties of two common generic shapes, planar right constant generalized cylinders (PRCGCs) and circular planar right generalized cylinders (circular PRGCs). The properties we analyze include new geometric invariant and quasi-invariant properties of the orthographic projection of the above shapes and a useful classification of their structural properties as functions of their pose. The second part of the paper describes an implemented system which detects and recovers PRCGCs and circular PRGCs from an intensity image in the presence of noise, surface markings, shadows, and partial occlusion. The methods exploit the projective properties to hypothesize and verify relevant curved-axis objects, thus explicitly using the three-dimensionality of the objects and of the desired descriptions. This work extends past work on the recovery of volumetric shapes from an intensity image by addressing new primitives, deriving new properties and by developing a system that recovers them from an intensity image. We demonstrate our method on several real intensity images.