Computer Vision – ACCV 2010 [electronic resource] : 10th Asian Conference on Computer Vision, Queenstown, New Zealand, November 8-12, 2010, Revised Selected Papers, Part I / edited by Ron Kimmel, Reinhard Klette, Akihiro Sugimoto.

By:

Kimmel, Ron [editor.]

Contributor(s):

Material type: Text

TextSeries: Lecture Notes in Computer Science ; 6492Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2011Description: XXI, 510p. online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9783642193156

Subject(s):

Additional physical formats: Printed edition:: No titleDDC classification:

006.6 23
006.37 23

LOC classification:

TA1637-1638
TA1637-1638

Online resources:

Click here to access online

In: Springer eBooksSummary: The four-volume set LNCS 6492-6495 constitutes the thoroughly refereed post-proceedings of the 10th Asian Conference on Computer Vision, ACCV 2009, held in Queenstown, New Zealand in November 2010. All together the four volumes present 206 revised papers selected from a total of 739 Submissions. All current issues in computer vision are addressed ranging from algorithms that attempt to automatically understand the content of images, optical methods coupled with computational techniques that enhance and improve images, and capturing and analyzing the world's geometry while preparing the higher level image and shape understanding. Novel gemometry techniques, statistical learning methods, and modern algebraic procedures are dealt with as well.

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Holdings
Item type	Current library	Call number	Status	Date due	Barcode
E-Book	Central Library		Available		E-47667

The four-volume set LNCS 6492-6495 constitutes the thoroughly refereed post-proceedings of the 10th Asian Conference on Computer Vision, ACCV 2009, held in Queenstown, New Zealand in November 2010. All together the four volumes present 206 revised papers selected from a total of 739 Submissions. All current issues in computer vision are addressed ranging from algorithms that attempt to automatically understand the content of images, optical methods coupled with computational techniques that enhance and improve images, and capturing and analyzing the world's geometry while preparing the higher level image and shape understanding. Novel gemometry techniques, statistical learning methods, and modern algebraic procedures are dealt with as well.

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