This paper studies the inference of 3D shape from a set of ? noisy photos. We derive a probabilistic framework to specify what one can infer about 3D shape for arbitrarily-shaped, ...
Rahul Bhotika, David J. Fleet, Kiriakos N. Kutulak...
In this paper we present a method to derive 3D shape and surface texture of a human face from a single image. The method draws on a general flexible 3D face model which is "le...
To keep an overview of a complex corporate web sites, it is crucial to understand the relationship of contents, structure and the user's behavior. In this paper, we describe ...
Vassil Gedov, Carsten Stolz, Ralph Neuneier, Micha...
We present an image guided pen-based suggestive interface for sketching 3D wireframe models. Rather than starting from a blank canvas, existing 2D images of similar objects serve ...
Steve Tsang, Ravin Balakrishnan, Karan Singh, Abhi...
Diffusion Maps (DiffMaps) has recently provided a general framework that unites many other spectral manifold learning algorithms, including Laplacian Eigenmaps, and it has become ...