We describe a hierarchical probabilistic model for the detection and recognition of objects in cluttered, natural scenes. The model is based on a set of parts which describe the e...
Erik B. Sudderth, Antonio B. Torralba, William T. ...
Collaborative work requires, more than ever, access to data located on multiple autonomous and heterogeneous data sources. The development of these novel information platforms, ref...
Model-based image recognition requires a general model of the object that should be detected in an image. In many applications such models are not known a-priori instead of they mu...
An image based model reconstruction system is described. Real images of a rigid object acquired under a simple but controlled environment are used to recover the three dimensional...
This paper addresses interactive function-based shape modeling where relatively small formulas are used rather than thousands of polygons. Interactive modification of the function...