Scale Invariant Feature Transform (SIFT) Detector and Descriptor

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Dense Conditional Random Field

The purpose of this article is to fully understand two classical papers: Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials, and Conditional Random Fields as Recurrent Neural Network.

Conferences and Journals for Computer Vision Area

Harris Corner Detector

Discrete Inference and Learning in Artificial Vision

This article will be about the probability graphical models. At first, I will just gain resources link:

Gaussian Filtering for Computational Photography

1. Ways to do approximation algorithms

Because the Gauss transform can express a rich and useful family of image processing algorithms, but its use has been hindered by its computational complexity; instead, approximate…