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Identifying natural images from human brain
activity Is mind (brain) reading possible? Well, the technology is getting closer. In this project, we will try to implement such a system, e.g., this method. Interacting with Computers using Gaze In this project, we will use eye tracking techniques to interact with computers. Using gaze and eye movements instead of traditional keyboard and mouse to interact with computers can open up new applications, for example, to assist motor impaired people to use a computer. Video/Photo Mashup Mashup (Wiki) is a web application that combines data from more than one source into a single integrated tool. Here are some examples Flickrvision (http://flickrvision.com/) More examples here (http://mashupawards.com/) There are many possibilities, and you can develop some very interesting and useful tools. Colorization Given a black and white (old) photo, a user scribbles a few "seed" colours, a computational algorithm will solve the colorization problem in "closed form". More information ....  References [1] A. Levin, D. Lischinski and Y. Weiss, “Colorization using optimization”, SIGGRAPH 2004 [2] G. Qiu and J. Guan, "Color by Linear Neighborhood Embedding", ICIP2005, IEEE International Conference on Image Processing, Genova, Italy, September 11 - 14, 2005 Interactive Image Editing A user scribbles a few pixels belong to the foreground and background, a computational algorithm will separate the foreground from the background and produce an "alpha matte". The extracted foreground objects can then be placed in a new background to synthesize a new image.  References J. Guan and G. Qiu, "Interactive image segmentation using optimization with statistical priors", International Workshop on The Representation and Use of Prior Knowledge in Vision, In conjunction with ECCV 2006, May 13 2006, Graz, Austria Content-based Image Indexing and Retrieval Managing large image database is very challenging. We take a content-based approach and want to develop systems that will enable users to query image databases by visual examples or visual features such as colour and texture. More information can be found in these links http://www.viplab.cs.nott.ac.uk/research1.html http://www.viplab.cs.nott.ac.uk/research2.html http://www.viplab.cs.nott.ac.uk/research3.html If you are interested in doing a project in this area, please come to see me, there will be many fun things you can do. Computational Photography or Making Beautiful Pictures Have you ever wondered why the picture quality of some of the photos you took with your digital camera was so bad, like the left photo in the follwing image  Well, by doing this project you will know why, and learn how to correct this using computational approaches, to produce a "beautiful" picture like the one on the right in the above image. Interactive Fat and Organ Segmentation In medical research, it is often necessary to segment out various organs and tissues. In this project, you will develop interactive computational approaches to image segmentation. Please come to see me if you are interested in this project.  Object (Face and Car) Detection In this project, you will learn how to detect specific types of objects in still images and in videos.  More information can be found in this link http://www.viplab.cs.nott.ac.uk/research7.html or come to see me if you are interested in this project. |
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