Chetan Jakkoju

International Institute of Information Technology, Hyderabad, Bhaganagar, Andhra Pradesh, India

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Publications (2)0 Total impact

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    Chetan Jakkoju · K. Madhava Krishna · C. V. Jawahar
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    ABSTRACT: In this paper, we present a monocular camera based terrain classification scheme. The uniqueness of the proposed scheme is that it inherently incorporates spatial smoothness while segmenting a image, without requirement of post-processing smoothing methods. The algorithm is extremely fast because it is build on top of a Random Forest classifier. We present comparison across features and classifiers. The baseline algorithm uses color, texture and their combination with classifiers such as SVM and Random Forests. We further enhance the algorithm through a label transfer method. The efficacy of the proposed solution can be seen as we reach a low error rates on both our dataset and other publicly available datasets.
    Full-text · Conference Paper · Aug 2010
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    ABSTRACT: In this paper, we propose a convex optimization based approach for piecewise planar reconstruction. We show that the task of reconstructing a piecewise planar environment can be set in an L ∞ based Homographic framework that iteratively computes scene plane and camera pose parameters. Instead of image points, the algorithm optimizes over inter-image homographies. The resultant objective functions are minimized using Second Order Cone Programming algorithms. Apart from showing the convergence of the algorithm, we also empirically verify its robustness to error in initialization through various experiments on synthetic and real data. We intend this algorithm to be in between initialization approaches like decomposition methods and iterative non-linear minimization methods like Bundle Adjustment.
    Full-text · Conference Paper · Sep 2009

Publication Stats

4 Citations

Top Journals


  • 2009
    • International Institute of Information Technology, Hyderabad
      • Centre for Visual Information Technology (CVIT)
      Bhaganagar, Andhra Pradesh, India