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- Amit Jain, Ramanathan Muthuganapathy, Karthik Ramani
- ISVC
- 2007

Content based image retrieval (CBIR), a technique which uses visual contents to search images from the large scale image databases, is an active area of research for the past decade. It is increasingly evident that an image retrieval system has to be domain specific. In this paper, we present an algorithm for retrieving images with respect to a database… (More)

- Iddo Hanniel, Ramanathan Muthuganapathy, Gershon Elber, Myung-Soo Kim
- Symposium on Solid and Physical Modeling
- 2005

We present an algorithm for generating the Voronoi cells for a set of rational C<sup>1</sup>-continuous planar closed curves, which is precise up to machine precision. Initially, bisectors for pairs of curves, (<i>C(t), C<sup>i</sup>(r))</i>, are generated symbolically and represented as implicit forms in the <i>tr</i>-parameter space. Then, the bisectors… (More)

- Subramani Sellamani, Ramanathan Muthuganapathy, +4 authors Christoph M. Hoffman
- 2010

Analysis of mesh models is gaining prominence as it has wide range of applications from engineering to medicine. In this paper, we present a method for analyzing meshes through the abstraction of its prominent cross-sections (PCS). An algorithm that can robustly yield prominent cross-section at any point on the mesh that approximates the local sweep has… (More)

- Ramanathan Muthuganapathy, Karthik Ramani
- 2008 IEEE International Conference on Shape…
- 2008

This paper presents the summary of all the results of the participants in the event SHREC08 — CAD Model Track

- Suthirth Vaidya, Abhijith Chunduru, Ramanathan Muthuganapathy, Ganapathy Krishnamurthi
- 2015

We present our entry for the Longitudinal Multiple Sclerosis Challenge 2015 using 3D convolutional neural networks (CNN). We model a voxel-wise classifier using multi-channel 3D patches of MRI volumes as input. For each ground truth, a CNN is trained and the final segmentation is obtained by combining the probability outputs of these CNNs. Efficient… (More)

- Ramanathan Muthuganapathy, Gershon Elber, Gill Barequet, Myung-Soo Kim
- Computer-Aided Design
- 2011

The problem of computing the minimum enclosing sphere (MES) of a point set is a classical problem in Computational Geometry. As an LP-type problem, its expected running time on the average is linear in the number of points. In this paper, we generalize this approach to compute the minimum enclosing sphere of free-form hypersurfaces, in arbitrary dimensions.… (More)

- Iddo Hanniel, Ramanathan Muthuganapathy, Gershon Elber, Myung-Soo Kim
- Int. J. Comput. Geometry Appl.
- 2007

We present an algorithm for generating Voronoi cells for a set of planar piecewise C 1-continuous closed rational curves, which is precise up to machine precision. The algorithm starts with the symbolically generated bisectors for pairs of C 1-continuous curve segments (C(t),C i (r)). The bisectors are represented implicitly in the tr-parameter space. Then,… (More)

We present a method to extract the contour of geometric objects embedded in binary digital images using techniques in computational geometry. Rather than directly dealing with pixels as in traditional contour extraction methods, we process on object point set extracted from the image. The proposed algorithm works in four phases: point extraction, Euclidean… (More)

- Bharath Ram Sundar, Abhijith Chunduru, Rajat Tiwari, Ashish Gupta, Ramanathan Muthuganapathy
- Computers & Graphics
- 2014

- Jiju Peethambaran, Ramanathan Muthuganapathy
- Computer-Aided Design
- 2015

Given a finite set of points S ⊆ R 2 , we define a proximity graph called as shape-hull graph(SHG(S)) that contains all Gabriel edges and a few non-Gabriel edges of Delaunay triangulation of S. For any S, SHG(S) is topologically regular with its boundary (referred to as shape-hull(SH)) homeomorphic to a simple closed curve. We introduce the concept of… (More)