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  • Nagar, Rajendra; Raman, Shanmuganathan (Elsevier, 2020-06)
    Reflection symmetry is a very commonly occurring feature in both natural and man-made objects, which helps in understanding objects better and makes them visually pleasing. Detection of reflection symmetry is a fundamental ...
  • Patel, Diptiben; Raman, Shanmuganathan (2019-01)
  • Singha, Rattandeep; Gupta, Sandeep; Raman, Shanmuganathan; Chakraborty, Prodyut; Sharma, Puneet; Sharma, Rakesh Kumar; Brown, Larry C.; Wei, Xiaohua; Plappally, Anand K. (Taylor & Francis, 2015-09)
    A numerical visualization study of wetlands is detailed in this article using finite volume methods. The aim of this study is to model treatment efficiency of the wetlands in terms of the residence time distribution function. ...
  • Kanojia, Gagan; Raman, Shanmuganathan (Elsevier, 2018-11)
    Consider a set of n images of a dynamic scene captured using multiple hand-held devices. The order in which these images are captured is unknown. For n images, there can be n! possible arrangements, which makes this problem ...
  • Nagar, Rajendra; Raman, Shanmuganathan (IEEE, 2019-01)
    We propose an algorithm to detect approximate reflection symmetry present in a set of volumetrically distributed points belonging to $\mathbb{R}^d$ containing a distorted reflection symmetry pattern. We pose the problem ...
  • Vora, Aditya; Raman, Shanmuganathan (Elsevier, 2018-04)
    This paper addresses the problem of unsupervised object localization in an image. Unlike previous supervised and weakly supervised algorithms that require bounding box or image level annotations for training classifiers, ...
  • Mastan, Indra Deep; Raman, Shanmuganathan (2019-06)
  • Patel, Diptiben; Raman, Shanmuganathan (Elsevier, 2019-07)
    The resizing of stereo images while preserving salient content and geometric consistency between the image pair is an essential problem to be addressed for 3D visualization. Existing stereo image retargeting techniques are ...
  • Kanojia, Gagan; Raman, Shanmuganathan (Springer Verlag, 2018-02)
    A scene can be divided into two parts: static and dynamic. The parts of the scene which do not admit any motion are static regions, while moving objects correspond to dynamic regions. In this work, we tackle the challenging ...
  • Kanojia, Gagan; Raman, Shanmuganathan (IEEE, 2017-06)
    A photograph of the same scene can look different when captured using different camera settings. In this paper, we propose a novel technique to obtain the complete post-capture control over the focus and aperture settings ...
  • Nagar, Rajendra; Raman, Shanmuganathan (IEEE, 2017-10)
    We propose an energy minimization approach to detect multiple reflection symmetry axes present in a given image representing fronto-parallel view of a scene. We perform local feature matching to detect the pairs of mirror ...
  • Nagar, Rajendra; Raman, Shanmuganathan (IEEE, 2016-12)
    Reflection symmetry is present in most of the man-made or naturally formed objects. In computer vision, real-world scenes are represented by dense 3-D models or by 2-D projections, such as images captured by cameras. Most ...

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