We present a method for computing normals and colors from multiple sets of photometric data, that are consistent with each other and an underlying lower resolution mesh. Normals a...
Geometric reconstruction problems in computer vision can be solved by minimizing the maximum of reprojection errors, i.e., the L-norm. Unlike L2-norm (sum of squared reprojection ...
This paper examines how spam behavior was impacted by the shutdown of McColo, a service provider known for its lax security enforcement. Since the shutdown, a variety of sources h...
Steve DiBenedetto, Daniel Massey, Christos Papadop...
This paper presents a unified framework for 3D shape retrieval. The method supports multimodal queries (2D images, sketches, 3D objects) by introducing a novel view-based approach...
In this paper we introduce a novel approach for inferring articulated spine models from images. A low-dimensional manifold embedding is created from a training set of prior mesh mo...