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Outlier-contaminated data is a fact of life in computer vision. For
computer vision applications to perform reliably and accurately in
practical settings, the processing of the input data must be
conducted in a robust manner. In this context, the maximum
consensus robust criterion plays a critical role by allowing the
quantity of interest to be estimated from noisy and outlier-prone
visual measurements. The maximum consensus problem refers to the
problem of optimizing the quantity of interest according to the
maximum consensus criterion. This book provides an overview of the
algorithms for performing this optimization. The emphasis is on the
basic operation or "inner workings" of the algorithms, and on their
mathematical characteristics in terms of optimality and efficiency.
The applicability of the techniques to common computer vision tasks
is also highlighted. By collecting existing techniques in a single
article, this book aims to trigger further developments in this
theoretically interesting and practically important area.
This edited volume explores several issues relating to parametric
segmentation including robust operations, model selection criteria
and automatic model selection, plus 2D and 3D scene segmentation.
Emphasis is placed on robust model selection with techniques such
as robust Mallows Cp, least K-th order statistical model fitting
(LKS), and robust regression receiving much attention. With
contributions from leading researchers, this is a valuable resource
for researchers and graduated students working in computer vision,
pattern recognition, image processing and robotics.
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Statistical Methods in Video Processing - ECCV 2004 Workshop SMVP 2004, Prague, Czech Republic, May 16, 2004, Revised Selected Papers (Paperback, 2004 ed.)
Dorin Comaniciu, Kenichi Kanatani, Rudolf Mester, David Suter
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R1,600
Discovery Miles 16 000
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Ships in 10 - 15 working days
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The 2nd International Workshop on Statistical Methods in Video
Processing, SMVP 2004, was held in Prague, Czech Republic, as an
associated workshop of ECCV 2004, the 8th European Conference on
Computer Vision. A total of 30 papers were submitted to the
workshop. Of these, 17 papers were accepted for presentation and
included in these proceedings, following a double-blind review
process. The workshop had 42 registered participants. The focus of
the meeting was on recent progress in the application of - vanced
statistical methods to solve computer vision tasks. The one-day
scienti?c program covered areas of high interest in vision
research, such as dense rec- struction of 3D scenes, multibody
motion segmentation, 3D shape inference, errors-in-variables
estimation, probabilistic tracking, information fusion, optical
?owcomputation, learningfornonstationaryvideodata,
noveltydetectionin- namic backgrounds, background modeling,
grouping using feature uncertainty, and crowd segmentation from
video. We wish to thank the authors of all submitted papers for
their interest in the
workshop.Wealsowishtothankthemembersofourprogramcommitteeandthe
external reviewers for their commitment of time and e?ort in
providing valuable recommendations for each submission. We are
thankful to Vaclav Hlavac, the General Chair of ECCV 2004, and to
Radim Sara, for the local organization of the workshop and
registration management. We hope you will ?nd these proceedings
both inspiring and of high scienti?c qualit
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Pattern Recognition and Information Forensics - ICPR 2018 International Workshops, CVAUI, IWCF, and MIPPSNA, Beijing, China, August 20-24, 2018, Revised Selected Papers (Paperback, 1st ed. 2019)
Zhaoxiang Zhang, David Suter, Yingli Tian, Alexandra Branzan Albu, Nicolas Sidere, …
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R1,557
Discovery Miles 15 570
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Ships in 10 - 15 working days
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This book constitutes the refereed post-conference proceedings of 3
workshops, held at the 24th International Conference on Pattern
Recognition, Beijing, China, in August 2018: the Third
International Workshop on Computer Vision for Analysis of
Underwater Imagery, CVAUI 2018, the 7th International Workshop on
Computational Forensics, IWCF 2018, and the International Workshop
on Multimedia Information Processing for Personality and Social
Networks Analysis, MIPPSNA 2018.The 16 full papers presented in
this book were carefully reviewed and selected from 23 submissions.
CVAUI Workshop: The analysis of underwater imagery imposes a series
of unique challenges, which need to be tackled by the computer
vision community in collaboration with biologists and ocean
scientists. IWCF Workshop: With the advent of high-end technology,
fraudulent efforts are on rise in many areas of our daily life, may
it be fake paper documents, forgery in the digital domain or
copyright infringement. In solving the related criminal cases use
of pattern recognition (PR) principles is also gaining an important
place because of their ability in successfully assisting the
forensic experts to solve many of such cases. MIPPSNA Workshop: Its
goal is to compile the latest research advances on the analysis of
multimodal information for facing problems that are not visually
obvious, this is, problems for which the sole visual analysis is
insufficient to provide a satisfactory solution.
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