Generating Semantic Descriptions From Drawings of Scenes With Shadows
Generating Semantic Descriptions From Drawings of Scenes With Shadows
Graph-Theoretical Methods for Detecting and Describing Gestalt Clusters
IEEE Transactions on Computers
Edge and Curve Detection for Visual Scene Analysis
IEEE Transactions on Computers
IEEE Transactions on Computers
Decomposition of a visual scene into three-dimensional bodies
AFIPS '68 (Fall, part I) Proceedings of the December 9-11, 1968, fall joint computer conference, part I
The Analysis of Radiographic Images
IEEE Transactions on Computers
IEEE Transactions on Computers
Evolving descriptors for texture segmentation
Pattern Recognition
Visual structure-based web page clustering and retrieval
Proceedings of the 19th international conference on World wide web
| Hi-index | 14.98 |
A central problem in the area of scene analysis is that of segmenting a scene into its natural objects. Current work emphasizes the semantic approach in which a priori knowledge of the shape of an object is used. Yet there is much to learn about more primitive cues for segmentation such as texture, color, and brightness. In the case of human perception, segmentation appears to be due to a multiplicity of cues which operate in a redundant fashion.