Indexing of Technical Line Drawing Databases
IEEE Transactions on Pattern Analysis and Machine Intelligence
ACM Computing Surveys (CSUR)
A system for graphical communication in a CAI context
ACM SIGGRAPH Computer Graphics
A comparison of human and computer vision systems: a tutorial
ACM SIGART Bulletin
Recovering Surface Layout from an Image
International Journal of Computer Vision
Recent advances in sketch recognition
AFIPS '73 Proceedings of the June 4-8, 1973, national computer conference and exposition
Learning in computer vision: some thoughts
CIARP'07 Proceedings of the Congress on pattern recognition 12th Iberoamerican conference on Progress in pattern recognition, image analysis and applications
Recovering Occlusion Boundaries from an Image
International Journal of Computer Vision
Hi-index | 0.00 |
Methods are presented 1) to partition or decompose a visual scene into the bodies forming it; 2) to position these bodies in three-dimensional space, by combining two scenes that make a stereoscopic pair; 3) to find the regions or zones of a visual scene that belong to its background; 4) to carry out the isolation of the objects in 1) when the input has inaccuracies. Running computer programs implement the methods and many examples illustrate their behavior. The input is a two-dimensional line-drawing of the scene, assumed to contain three-dimensional bodies possessing flat faces (polyhedra); some of them may be partially occluded. Suggestions are made for extending the work to curved objects. Some comparisons are made with human visual perception. The main conclusion is that it is possible to separate a picture or scene into the constituent objects exclusively on the basis of monocular geometric properties (on the basis of pure form); in fact, successful methods are shown.