What We Do
The aim of our research is to extract useful information from images and video, similar to the way the human eyes and brain process what we see. Some possible appplications of our research include: facial recognition, analysis of medical images, robotics and much more!
Image Analysis
This image shows the use of computer vision to pick out the main features in the structure of a meteorite.
Medical Imaging
The analysis of medical images can be used to aid diagnosis, or be used with robotics during surgery.
Basic Image Features
This involves classifying each pixel of an image into groups to extract edges and regions from an image. These are often compared to a rough sketch by an artist.
An interesting problem in our research is the sheer amount of data involved. A VGA camera (640x480 pixels) recording at 30 frames per second will provide 27 Mega Bits of information per second. That's 27 million bits of information per second, and that isn't even in HD!
Can you guess out how much information a HD video running at 30 frames per second will provide? (1920x1080 pixels)
Reveal the AnswerSee What We Do
Our Work
Facial Recognition
Most facial recognition algorithms struggle if the persons face is not in the exact same position as the one in the database. Our research tries to avoid this by allowing the computer to predict how a person will look from different angles.
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Cell Phenotype Recognition
Our aim is to create an automated system to label a cells phenotype (observable characteristics) based on what is shown in an image. The data set is far too large for a human expert to analyse so must be done by a computer.
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MRI Scanning
With newer techniques, it is possible to produce images of smaller structures within the human body. The key application is non-invasive procedures to aid diagnosis. Currently, a biopsy require a sample to be removed from the patient.
Learn MoreAbout us
The Vision and Imaging Science group at UCL consists of 8 academic staff and more than 40 post-docs and students. We host numerous seminars, reading groups, and Masters Level courses. Our groups interests include: facial recognition, augmented reality and medical imaging. Furthemore, Vision and Imaging has been a vital part of Computer Science for many years, starting as early as the 1960s. Click below to learn more about the history of this fascinating reseach area.
Our History