This paper presents an image-based walkthrough technique where reference images are sparsely sampled along a path. The technique relies on a simple user interface for rapid modeli...
Shachar Fleishman, Baoquan Chen, Arie E. Kaufman, ...
This paper presents a novel approach for creating curvilinear, texture mapped, 3D scene models from a single painting or photograph with no prior internal knowledge about the shap...
We develop an efficient learning framework to construct signal dictionaries for sparse representation by selecting the dictionary columns from multiple candidate bases. By sparse,...
In this paper, we propose a Bayesian approach to image hallucination. Given a generic low resolution image, we hallucinate a high resolution image using a set of training images. ...
Jian Sun, Nanning Zheng, Hai Tao, Heung-Yeung Shum
We present a novel global stereo model that makes use of constraints from points with known depths, i.e., the Ground Control Points (GCPs) as referred to in stereo literature. Our...