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Meeting with Qiang

Meeting Minutes

In the last meeting I showed the program that I made, using ORB and AKAZE tracker on the footage Qiang suggested. The overall impression looks decent but he was wondering about how to recover the camera pose information that can represent the entire scene been captured throughout the footage. Based on this concern he suggested me to look into the construction of camera pose, and he showed me a recent paper that he is currently assessing, which he mentioned in chapter 2 and 5 & 6 could be a good starting point that I can investigate into.

Things to do

• Revisit FERN descriptor and summarise the overall training process.
• Applied the same footage and the program, but for the template image use the first image of the consectutive frame instrad of using just the "frontal" image.
• Revisit the current MEng project and start improving the fixing up the minor / major issues.
• DSP (See the sample)

Tutorial Resources (Continuing update)

• part 3: should i read it? the naive bayes method
• v1: semi supervised naive bayes

Research Paper

• Affine Covariant Feature

  This page is focused on the problem of detecting affine invariant features in arbitrary images and on the performance evaluation of region detectors/descriptors.

• An Improved ORB Algorithm of Extracting and Matching Features

  Research paper on improved ORB algorithm, 2012.

• Pose Tracking from Natural Features on Mobile Phones

  A research paper as suggested from its title.

Useful Resources

• Understanding BREIF

  General discussion fron Stackoverflow, on how BREIF works.

• CV course from Princeton University

  An archive for CV course from Princeton University.

• Local Invariant Feature Detectors: A Survey

  An overview of invariant interest point detectors, how they evolved over time, how they work, and what their respective strengths and weaknesses are.

• Understand homogenous coordinate system

Programming Library Resources (Continuing update)

• Theia Lirary

  A C++ library to provide SfM implementation, haven't personally try it yet but sounds interesting.

• Matlab Computer Vision tool

  A set of useful computer vision functions by Peter Kovesi.

• Dlib

  Lightweight library that provide machine learning and computer vision functions. I am currently using this as part of C++ implementation for master project.

Previous record

2016-09-06 2016-09-30 2016-10-14