Efficient recovery of shape from texture
1Computer Vision Laboratory, Computer Science Center, University of Maryland, College Park, MD 20742.
IEEE Transactions on Pattern Analysis and Machine Intelligence
|August 27, 2011
Abstract:
Witkin proposed a maximum likelihood model for the recovery of surface orientation from image texture. We develop two efficient algorithms for solving this shape from texture problem and compare the results of these algorithms with the algorithm described in [1].
Related Concept Videos
01:25Shape and Texture of Coarse Aggregate
Aggregate shape is classified based on the relative sharpness or roundness of the edges and corners. This classification includes categories like rounded, angular, elongated, and flaky, each with specific characteristics. Rounded aggregates, fully shaped by attrition, are typical of river or seashore gravel, while angular aggregates, such as crushed rock, have well-defined edges. Aggregates that are elongated and flaky are less desirable, as they can reduce the workability and strength of...
01:12Elasticity
Elasticity is the ability of an object to withstand the effects of distortion and to return to its original size and shape once the forces causing deformation are removed. When an elastic material deforms under the action of an external force, it experiences internal resistance to the deformation. However, if no external force is applied, it returns to its original state.
The elasticity of an object can be described by a stress-strain curve, which represents the relationship between stress...
The elasticity of an object can be described by a stress-strain curve, which represents the relationship between stress...