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- Publications
- Influence
Global contrast based salient region detection
- Ming-Ming Cheng, Guo-Xin Zhang, N. Mitra, Xiaolei Huang, S. Hu
- Computer Science
- CVPR
- 20 June 2011
Reliable estimation of visual saliency allows appropriate processing of images without prior knowledge of their contents, and thus remains an important step in many computer vision tasks including… Expand
Super 4PCS Fast Global Pointcloud Registration via Smart Indexing
- Nicolas Mellado, Dror Aiger, N. Mitra
- Computer Science
- Comput. Graph. Forum
- 9 July 2014
Data acquisition in large‐scale scenes regularly involves accumulating information across multiple scans. A common approach is to locally align scan pairs using Iterative Closest Point (ICP)… Expand
Robust global registration
- N. Gelfand, N. Mitra, L. Guibas, H. Pottmann
- Computer Science
- SGP '05
- 4 July 2005
We present an algorithm for the automatic alignment of two 3D shapes (data and model), without any assumptions about their initial positions. The algorithm computes for each surface point a… Expand
Partial and approximate symmetry detection for 3D geometry
"Symmetry is a complexity-reducing concept [...]; seek it every-where." - Alan J. PerlisMany natural and man-made objects exhibit significant symmetries or contain repeated substructures. This paper… Expand
SalientShape: group saliency in image collections
- Ming-Ming Cheng, N. Mitra, Xiaolei Huang, S. Hu
- Computer Science
- The Visual Computer
- 1 April 2014
Efficiently identifying salient objects in large image collections is essential for many applications including image retrieval, surveillance, image annotation, and object recognition. We propose a… Expand
Geometric modeling in shape space
- M. Kilian, N. Mitra, H. Pottmann
- Computer Science
- SIGGRAPH
- 29 July 2007
We present a novel framework to treat shapes in the setting of Riemannian geometry. Shapes -- triangular meshes or more generally straight line graphs in Euclidean space -- are treated as points in a… Expand
Discovering structural regularity in 3D geometry
- M. Pauly, N. Mitra, J. Wallner, H. Pottmann, L. Guibas
- Computer Science
- SIGGRAPH
- 1 August 2008
We introduce a computational framework for discovering regular or repeated geometric structures in 3D shapes. We describe and classify possible regular structures and present an effective algorithm… Expand
Estimating surface normals in noisy point cloud data
- N. Mitra, A. T. Nguyen, L. Guibas
- Computer Science, Mathematics
- Int. J. Comput. Geom. Appl.
- 1 October 2004
In this paper we describe and analyze a method based on local least square fitting for estimating the normals at all sample points of a point cloud data (PCD) set, in the presence of noise. We study… Expand
Registration of point cloud data from a geometric optimization perspective
- N. Mitra, N. Gelfand, H. Pottmann, L. Guibas
- Computer Science
- SGP '04
- 8 July 2004
We propose a framework for pairwise registration of shapes represented by point cloud data (PCD). We assume that the points are sampled from a surface and formulate the problem of aligning two PCDs… Expand
Exploring collections of 3D models using fuzzy correspondences
- Vladimir G. Kim, W. Li, N. Mitra, S. DiVerdi, T. Funkhouser
- Computer Science
- TOGS
- 5 August 2012
Large collections of 3D models from the same object class (e.g., chairs, cars, animals) are now commonly available via many public repositories, but exploring the range of shape variations across… Expand