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Deep Structure, Singularities, and Computer Vision: First International Workshop, DSSCV 2005, Maastricht, The Netherlands, June 9-10, 2005, Revised Selected Papers
Ole Fogh Olsen
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Description for Deep Structure, Singularities, and Computer Vision: First International Workshop, DSSCV 2005, Maastricht, The Netherlands, June 9-10, 2005, Revised Selected Papers
paperback. Constitutes the refereed post-proceedings of the First International Workshop on Deep Structure, Singularities, and Computer Vision, DSSCV 2005, held in Maastricht. This book represents in understanding the relation between structural, topological information represented by singularities and metric information of signals, shapes, and colors. Series: Lecture Notes in Computer Science / Image Processing, Computer Vision, Pattern Recognition, and Graphics. Num Pages: 259 pages, biography. BIC Classification: UYQV. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 14. Weight in Grams: 391.
Whatisactuallytheinformationdirectlyrepresentedinthescale-space?Istarted to wonder about this shortly after Peter Johansen, 15 years ago, showed me his intriguing paper on how uniquely to reconstruct a band-limited 1D signal from its scale-space toppoints. Still, I have not fully understood its implications. Merely recording where structure vanishes under blurring is su?cient to fully reconstruct the details. Of course, technicalities exist, for example, you must also know negative scale toppoints. Nevertheless, I ?nd it surprising that we may trade the metric properties of a signal with the positions of its inherent structure. The result has been generalizedto analytic signals, shown also for the zero crossings ... Read more
Whatisactuallytheinformationdirectlyrepresentedinthescale-space?Istarted to wonder about this shortly after Peter Johansen, 15 years ago, showed me his intriguing paper on how uniquely to reconstruct a band-limited 1D signal from its scale-space toppoints. Still, I have not fully understood its implications. Merely recording where structure vanishes under blurring is su?cient to fully reconstruct the details. Of course, technicalities exist, for example, you must also know negative scale toppoints. Nevertheless, I ?nd it surprising that we may trade the metric properties of a signal with the positions of its inherent structure. The result has been generalizedto analytic signals, shown also for the zero crossings ... Read more
Product Details
Format
Paperback
Publication date
2005
Publisher
Springer Germany
Number of pages
259
Condition
New
Series
Lecture Notes in Computer Science / Image Processing, Computer Vision, Pattern Recognition, and Gra
Number of Pages
259
Place of Publication
Berlin, Germany
ISBN
9783540298366
SKU
V9783540298366
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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