R
Rajendra Nagar
Researcher at Indian Institute of Technology Gandhinagar
Publications - 20
Citations - 118
Rajendra Nagar is an academic researcher from Indian Institute of Technology Gandhinagar. The author has contributed to research in topics: Reflection symmetry & Symmetry (geometry). The author has an hindex of 6, co-authored 18 publications receiving 80 citations. Previous affiliations of Rajendra Nagar include Indian Institute of Technology, Jodhpur.
Papers
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Journal ArticleDOI
Detecting Approximate Reflection Symmetry in a Point Set Using Optimization on Manifold
TL;DR: The robustness of the approach is shown by varying the amount of distortion in a perfect reflection symmetry pattern where the authors perturb each point by a different amount of perturbation, and the effectiveness of the method is demonstrated by applying it to the problem of 2-D and 3-D reflection symmetry detection.
Journal ArticleDOI
3DSymm: Robust and Accurate 3D Reflection Symmetry Detection
TL;DR: This work proposes a descriptor-free approach, in which, the problem of reflection symmetry detection as an optimization problem and provide a closed-form solution, and shows that the proposed method achieves state-of-the-art performance on the standard dataset.
Book ChapterDOI
Fast and Accurate Intrinsic Symmetry Detection
TL;DR: This work detects the intrinsic reflective symmetry in triangle meshes where the authors have to find the intrinsically symmetric point for each point of the shape by establishing correspondences between functions defined on the shapes by extending the functional map framework and then recovering the point-to-point correspondences.
Journal ArticleDOI
Reflection Symmetry Axes Detection Using Multiple Model Fitting
TL;DR: A novel $k-symmetry clustering algorithm is proposed to minimize this energy function in order to efficiently find all the symmetry axes present in the given image.
Journal ArticleDOI
Reflection symmetry aware image retargeting
TL;DR: A novel image Retargeting approach which preserves the reflection symmetry present in the image during the image retargeting process and shows better preservation of symmetry axis, preservation of shape of the symmetric object, and quality of image retTargeting when compared to the existing methods.