shape context algorithm

I was trying to achieve rotation invariance for shape Context.
The general approach for shape context is
  • to compute distances and angles between each set of interest points in a given image.
  • Then bin into a histogram based on whether these calculated values fall into certain ranges.
You do this for both a standard and a test image.
  • To match two different images, from this you use a chi-square function to estimate a “cost” between each possible pair of points in the two different histograms.
  • Finally, use an optimization technique such as the hungarian algorithm to find optimal assignments of points and then sum up the total cost, which will be lower for good matches.
they say that to make the above approach rotation invariant,
you need to calculate each angle between each pair of points using the tangent vector as the x-axis. (ie page 513)

Learning grasping points with shape context

Color-shape context for object recognition

Advanced shape context for plant species identification using leaf image retrieval

Leave a Reply

Fill in your details below or click an icon to log in: Logo

You are commenting using your account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Google+ photo

You are commenting using your Google+ account. Log Out / Change )

Connecting to %s




Just another site

Jing's Blog

Just another site

Start from here......







Just another site

Where On Earth Is Waldo?

A Project By Melanie Coles

the Serious Computer Vision Blog

A blog about computer vision and serious stuff

Cauthy's Blog

paper review...

Cornell Computer Vision Seminar Blog

Blog for CS 7670 - Special Topics in Computer Vision


Life through nerd-colored glasses

Luciana Haill

Brainwaves Augmenting Consciousness



Dr Paul Tennent

and the university of nottingham

turn off the lights, please

A bunch of random, thinned and stateless thoughts around the Web

%d bloggers like this: