Affine Analysis of Image Sequences
Affine Analysis of Image Sequences (Distinguished Dissertations in Computer Science) Larry S. Shapiro,
Publisher: Cambridge University Press
ISBN: 0521019788
DDC: 621.367
Edition: Paperback; 2005-09-15
Summary:
Computer vision is a rapidly growing field which aims to make
computers 'see' as effectively as humans. In this book Dr Shapiro
presents a new computer vision framework for interpreting
time-varying imagery. This is an important task, since movement
reveals valuable information about the environment. The
fully-automated system operates on long, monocular image sequences
containing multiple, independently-moving objects, and demonstrates
the practical feasibility of recovering scene structure and motion in
a bottom-up fashion. Real and synthetic examples are given
throughout, with particular emphasis on image coding applications.
Novel theory is derived in the context of the affine camera, a
generalisation of the familiar scaled orthographic model. Analysis
proceeds by tracking 'corner features' through successive frames and
grouping the resulting trajectories into rigid objects using new
clustering and outlier rejection techniques. The three-dimensional
motion parameters are then computed via 'affine epipolar geometry',
and 'affine structure' is used to generate alternative views of the
object and fill in partial views. The use of all available features
(over multiple frames) and the incorporation of statistical noise
properties substantially improves existing algorithms, giving greater
reliability and reduced noise sensitivity.
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