| DETECTION
OF MALARIAL PARASITES: We are focusing on developing
a system to measure the degree of infection by malaria parasites
using a scan of a colour photograph of stained malarial
blood taken using a microscope in order to evaluate the
parasitaemia of the blood, i.e. to count the number of parasites
per number of red blood cells. A manual analysis of slides
is tiring, time-consuming and requires expert technical
staff. Our task is thus to automate the counting processes.
Therefore, we want to count the red blood cells in addition
to counting the parasites. Location is also important especially
locating the parasites for visualization purposes. |
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| 3D
OBJECT RECOGNITION: Being able to recognise
an arbitrary, real-world object is a fundamental endeavour
of computer vision. However, this task requires the existence
of a full 3d model of the object, which itself needs expensive
and dedicated hardware. We are examining techniques, whereby
we can combine a small number of images in such a way so
as to generate valid, novel views of a 3d object and thereby
recognise the object directly from its 2d images, without
the need for a full 3d model. |
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| CELL
PHENOTYPE RECOGNITION: High throughput biological
methods allow us to visualize the effect of knockdown of
almost every gene in a genome via imaging fluorescently
stained cells. However, such a dataset is so large that
it is impractical for each picture to be analysed by a human
expert. We aim to create a fast automated system to identify
and characterize a phenotype based on its image properties. |
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| FACE
RECOGNITION - most face recognition algorithms
perform very badly if the face they are supposed to recognize
is not in exactly the same pose as the one in their database.
The aim is to induce "pose invariance". In other
words we want the computer to predict how the person will
look from the side even if it only has one frontal snapshot. |
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PANORAMIC
ATTENTIVE SENSOR - a single camera cannot
view a panoramic scene in high resolution. In this project
we use data from a panoramic sensor to orient a much higher
resolution sensor to interesting parts of the scene such
as faces or rapidly changin areas. This is analagous to
the human eye foveating salient objects.
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