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Sandipan Dey's Blog – February 2018 Archive (4)

Implementing Lucas-Kanade Optical Flow algorithm in Python

In this article an implementation of the Lucas-Kanade optical flow algorithm is going to be described. This problem appeared as an assignment in  a computer vision course from UCSD. The inputs will be sequences of images (subsequent frames from a video) and the algorithm will output an optical flow field (u, v) and trace the motion of the moving objects. The problem description is taken from the assignment itself.

 


Problem…

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Added by Sandipan Dey on February 28, 2018 at 11:30am — No Comments

Graph-Based Image Segmentation in Python

In this article, an implementation of an efficient graph-based image segmentation technique will be described, this algorithm was proposed by Felzenszwalb et. al. from MIT.  The slides on this paper can be found from Stanford Vision Lab.. The algorithm is closely related…

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Added by Sandipan Dey on February 28, 2018 at 11:30am — No Comments

Image Colorization Using Optimization in Python

This article is inspired by this SIGGRAPH paper by Levin et. al, for which they took this patent , the paper was referred to in the course CS1114 from Cornell.  This method is also discussed in the coursera online image processing course by NorthWestern University. Some part of the problem description is taken from the paper itself. Also, one can refer to the implementation provided by the authors in matlab, the following …

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Added by Sandipan Dey on February 13, 2018 at 1:00pm — No Comments

Interactive Image Segmentation with Graph-Cut in Python

In this article, interactive image segmentation with graph-cut is going to be discussed. and it will be used to segment the source object from the background in an image. This segmentation technique was proposed by Boycov and Jolli in this paper

Problem Statement: Interactive graph-cut segmentation

Let’s implement…

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Added by Sandipan Dey on February 13, 2018 at 10:30am — No Comments

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