Project Suggestions

Text Box: Image Colorization

 
  Project Goal: 
 	Develop an algorithm, which colors a gray scale image automatically using database of million images (from the Web).  The  basic approach is based on transferring a color from a source image to the grayscale image by matching different kinds of information between the images and then fusing the colors.
More Details: http://webee.technion.ac.il/labs/cgm/Computer-Graphics-Multimedia/Undergraduate-Projects/2011/AutomaticScenePainting/ProjectWeb/

 

 

 

 

 

 

 

 

 

 

 

 

 

Text Box: Scene Completion

 
  Project Goal: 
 	Implement the following image completion algorithm. The algorithm patches up holes in images by finding similar image regions in the very large database that are not only seamless but also semantically valid. The algorithm is entirely data-driven, requiring no annotations or labelling by the user. 
More Details: http://graphics.cs.cmu.edu/projects/scene-completion/



More Details: http://webee.technion.ac.il/labs/cgm/Computer-Graphics-Multimedia/Undergraduate-Projects/2011/AutomaticScenePainting/ProjectWeb/

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Text Box: Image Blending

 
  Project Goal: 
 	Implement and test a poisson image blending.
More details about the approach : http://www.cs.brown.edu/courses/csci1950-g/asgn/proj2/



More Details: http://webee.technion.ac.il/labs/cgm/Computer-Graphics-Multimedia/Undergraduate-Projects/2011/AutomaticScenePainting/ProjectWeb/

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Text Box: Automatic Photo Album

 
 Project Goal:
Design and implement an algorithm that automatically chooses a few images out of hundreds of pictures from a trip or an event, which represent most of them. 

Project Goal: 
 	Implement the following image completion algorithm. The algorithm patches up holes in images by finding similar image regions in the very large database that are not only seamless but also semantically valid. The algorithm is entirely data-driven, requiring no annotations or labelling by the user. 
More Details: http://graphics.cs.cmu.edu/projects/scene-completion/



More Details: http://webee.technion.ac.il/labs/cgm/Computer-Graphics-Multimedia/Undergraduate-Projects/2011/AutomaticScenePainting/ProjectWeb/

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Text Box: Image Categorization with Thousands of Categories

 

   Project Goal: 
 	Learn the ImageNet Database, implement one of the recent large-scale recognition methods and test it on the ImageNet classes. 
More details: http://www.image-net.org/about-publication

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Text Box: Face Landmark Detection

 
  Project Goal: 
 	Many recognition algorithms depend on careful positioning of an object into a canonical pose. A starting point to this process could be finding facial landmarks. This project deals with an implementation and testing of recent methods in face landmark detection.
More Details: http://gravis.cs.unibas.ch/publications/2011/ICCV2011_Amberg.pdf

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Text Box: Interactive Recognition

 


  Project Goal: 
 	The goal of this project is interactive recognition of gestures using Kinect camera.  You can get many ideas for projects that use the Kinect from the following sites: OpenKinect, or KinectHacks. Note: The camera will NOT be provided. You can choose this project only if you have your own Kinect camera.