Line-Drawing Interpretation: Bilateral Symmetry
IEEE Transactions on Pattern Analysis and Machine Intelligence
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
Perceptual Organization for Scene Segmentation and Description
IEEE Transactions on Pattern Analysis and Machine Intelligence
Describing and segmenting scenes from imperfect and incomplete data
CVGIP: Image Understanding
Finding and recovering SHGC objects in an edge image
CVGIP: Image Understanding
Recovery of 3-D objects with multiple curved surfaces from 2-D contours
Artificial Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Representing 3-D objects in range images using geons
Computer Vision and Image Understanding
Recovery of SHGCs From a Single Intensity View
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Finding the parts of objects in range images
Computer Vision and Image Understanding
Volumetric descriptions from a single intensity image
International Journal of Computer Vision - Special issue on computer vision research at the University of Southern California
The Role of Model-Based Segmentation in the Recovery of Volumetric Parts From Range Data
IEEE Transactions on Pattern Analysis and Machine Intelligence
Perception of 3-D Surfaces from 2-D Contours
IEEE Transactions on Pattern Analysis and Machine Intelligence
Generic Object Recognition: Building and Matching Coarse Descriptions from Line Drawings
IEEE Transactions on Pattern Analysis and Machine Intelligence
Probabilistic Methods for Finding People
International Journal of Computer Vision
Object-level structured contour map extraction
Computer Vision and Image Understanding
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automatic selection of level-of-detail based on just-noticeable-difference (JND)
SIGGRAPH '05 ACM SIGGRAPH 2005 Posters
Qualitative part-based models in content-based image retrieval
Machine Vision and Applications
Detection of unexpected multi-part objects from segmented contour maps
Pattern Recognition
Technical section: A potential-based generalized cylinder representation
Computers and Graphics
Hierarchical 3D perception from a single image
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Curvilinear image regions detection: applications to mobile robotics
EURASIP Journal on Advances in Signal Processing - Special issue on biologically inspired signal processing: analyses, algorithms and applications
Reconstruction of canal surfaces from single images under exact perspective
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
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Volumetric, 3D, part-based descriptions of complex objects in a scene can be highly beneficial for many tasks such as generic object recognition, navigation, and manipulation. However, it has been difficult to derive such descriptions from image data. There has been some progress in getting such descriptions from range data or from perfect contours, but analysis of a real intensity image presents many difficulties. The object and part boundaries do not completely correspond to image boundaries. The detected boundaries are often fragmented and many boundaries due to surface markings, shadows, and noise are present. In addition, inference of 3D from a 2D image is difficult. This paper describes a method to compute the desired descriptions from a single image by exploiting projective properties of a class of generalized cylinders and of possible joints between them. Experimental results on some examples are given.