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Some of you Deep Learning folks might find this useful.

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My latest blog post highlights the most interesting (according to me of course) advances in Computer Vision which were presented at CVPR 2016. If I missed a paper feel free to leave a comment in the blog and I will definitely consider adding it in :)

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The paper is available at https://arxiv.org/abs/1606.05002

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Following up on my last blog post on PTAM, in this blog I have discussed DTAM which was published in 2010, 3 years after PTAM. The increased complexity and performance are evidence and illustration of how Computer Vision as a field of study is gaining maturity really quickly. Feel free to leave your feedback on the blog.

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Was trying to understand PTAM, a VSLAM (Visual Simultaneous Localization and Mapping) system. Created a comprehensive summary in my blog which might also be useful to readers new to VSLAM.

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Even the slightest of humiliation can leave a scar, let alone one at a global scale. As she rightly suggested - "Imagine walking a mile in someone else's headline", compassion would follow.

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Subdivision surface is an interesting technique often used in production graphics for getting smooth surfaces out of coarse control cages. Here's my implementation of it. Camera motion is along a Bezier curve defined by 4 control points

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Rasterization:

- Bresenham Line Algorithm

- Scan-line Polygon Rasterization

- Gouraud Interpolation

- Bresenham Line Algorithm

- Scan-line Polygon Rasterization

- Gouraud Interpolation

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