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Showing 1 - 4 of
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Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 14th Iberoamerican Conference on Pattern Recognition, CIARP 2009, Guadalajara, Jalisco, Mexico, November 15-18, 2009. Proceedings (Paperback, 2009 ed.)
Eduardo Bayro Corrochano, Jan-Olof Eklundh
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R4,736
Discovery Miles 47 360
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Ships in 10 - 15 working days
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The 14th Iberoamerican Congress on Pattern Recognition (CIARP 2009,
C-
gresoIberoAmericanodeReconocimientodePatrones)formedthelatestofanow
longseriesofsuccessfulmeetingsarrangedbytherapidlygrowingIberoamerican
pattern recognition community. The conference was held in
Guadalajara, Jalisco, Mexico and organized by the Mexican
Association for Computer Vision, Neural Computing and Robotics
(MACVNR). It was sponsodred by MACVNR and ?ve other Iberoamerican
PR societies. CIARP 2009 was like the previous conferences in the
series supported by the International Association for Pattern
Recognition (IAPR). CIARP 2009 attracted participants from all over
the world presenting sta- of-the-artresearchon mathematical methods
and computing techniques for p- tern recognition, computer vision,
image and signal analysis, robot vision, and speech recognition, as
well as on a wide range of their applications. This time the
conference attracted participants from 23 countries,9 in Ibe-
america, and 14 from other parts of the world. The total number of
submitted papers was 187, and after a serious review process 108
papers were accepted, all of them with a scienti?c quality above
overall mean rating. Sixty-four were selected as oral presentations
and 44 as posters. Since 2008 the conference is almost single
track, and therefore there was no real grading in quality between
oral and poster papers. As an acknowledgment that CIARP has
established itself as a high-quality conference, its proceedings
appear in the Lecture Notes in Computer Science series. Moreover,
its visibility is further enhanced by a selection of a set of
papers that will be published in a special issue of the journal
Pattern Recognition Letters.
The European Conference on Computer Vision (ECCV) has established
itself as a major event in this exciting and very active field of
research. This two-volume proceedings collects the 115 papers
accepted for presentation at the 3rd ECCV, held in Stockholm in May
1994. The papers were selected from over 300 submissions and
together give a well balanced reflection of the state of the art in
computer vision. The papers in Volume I are grouped under the
following headings: Geometry and shape, Optical flow and motion
fields, Image features, Motion and flow, Motion segmentation and
tracking, Ego-motion and 3D recovery, Recognition, Shape modelling,
Shape estimation, Calibration and multiple views, and Stereo and
calibration
The European Conference on Computer Vision (ECCV) has established
itself as a major event in this exciting and very active field of
research. This two-volume proceedings collects the 115 papers
accepted for presentation at the 3rd ECCV, held in Stockholm in May
1994. The papers were selected from over 300 submissions and
together give a well balanced reflection of the state of the art in
computer vision. The papers in Volume II are grouped under the
following headings: Active vision, Motion and structure, Matching
and registration, Segmentation and restoration, Illumination,
Shading and colour, Motion segmentation, Feature-extraction,
Registration and reconstruction, and Geometry and invariants.
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Computer Vision Systems - 10th International Conference, ICVS 2015, Copenhagen, Denmark, July 6-9, 2015, Proceedings (Paperback, 2015 ed.)
Lazaros Nalpantidis, Volker Kruger, Jan-Olof Eklundh, Antonios Gasteratos
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R3,235
Discovery Miles 32 350
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Ships in 10 - 15 working days
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This book constitutes the refereed proceedings of the 10th
International Conference on Computer Vision Systems, ICVS 2015,
held in Copenhagen, Denmark, in July 2015. The 48 papers presented
were carefully reviewed and selected from 92 submissions. The paper
are organized in topical sections on biological and cognitive
vision; hardware-implemented and real-time vision systems;
high-level vision; learning and adaptation; robot vision; and
vision systems applications.
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