CVIP is a research theme within the VIVE research group. Computer vision and image processing
aim to extract useful information from images and movies. Possible
applications include face recognition, automatic construction
of image databases, robotics, visual inspection for production
lines, building 3D models of the real world etc. etc.
One of the reasons that computer vision is an interesting
research problem is the sheer amount of data involved. A VGA
(640x480) camera collecting data at 30Hz provides 27 Mb of image
data per second. One interesting issue in computer vision is
how to efficiently extract salient parts of this huge datastream.
Another research area has investigated the geometry of multiple
cameras and how they relate to objects in the scene. A further
area of work involves building statistical models of the appearance
and shape of objects in the scene. For example, these can be
used for object detection.
Computer vision and image
processing make use of mathematical techniques including geometry,
statistics, physics, statistical decision theory, signal processing,
algorithmics and analysis/partial differential equations. Computer
vision is closely related to several other academic fields,
including computer graphics, neural networks and machine learning,
robotics, biological vision and wearable computing.
are a number of researchers in UCL computer science with interests
in computer vision and image processing. Particular interests
include face recognition, statistical modelling of colour information,
tracking for augmented reality, image based rendering and building
mathematical models of shape and appearance.