Tensor Voting
- Indbinding:
- Paperback
- Sideantal:
- 140
- Udgivet:
- 31. december 2007
- Størrelse:
- 191x8x235 mm.
- Vægt:
- 277 g.
- 1-2 uger.
- 15. januar 2025
På lager
Normalpris
Abonnementspris
- Rabat på køb af fysiske bøger
- 1 valgfrit digitalt ugeblad
- 20 timers lytning og læsning
- Adgang til 70.000+ titler
- Ingen binding
Abonnementet koster 75 kr./md.
Ingen binding og kan opsiges når som helst.
- 1 valgfrit digitalt ugeblad
- 20 timers lytning og læsning
- Adgang til 70.000+ titler
- Ingen binding
Abonnementet koster 75 kr./md.
Ingen binding og kan opsiges når som helst.
Beskrivelse af Tensor Voting
This lecture presents research on a general framework for perceptual organization that was conducted mainly at the Institute for Robotics and Intelligent Systems of the University of Southern California. It is not written as a historical recount of the work, since the sequence of the presentation is not in chronological order. It aims at presenting an approach to a wide range of problems in computer vision and machine learning that is data-driven, local and requires a minimal number of assumptions. The tensor voting framework combines these properties and provides a unified perceptual organization methodology applicable in situations that may seem heterogeneous initially. We show how several problems can be posed as the organization of the inputs into salient perceptual structures, which are inferred via tensor voting. The work presented here extends the original tensor voting framework with the addition of boundary inference capabilities; a novel re-formulation of the framework applicable to high-dimensional spaces and the development of algorithms for computer vision and machine learning problems. We show complete analysis for some problems, while we briefly outline our approach for other applications and provide pointers to relevant sources.
Brugerbedømmelser af Tensor Voting
Giv din bedømmelse
For at bedømme denne bog, skal du være logget ind.Andre købte også..
Find lignende bøger
Bogen Tensor Voting findes i følgende kategorier:
- Business og læring > Computer og IT
- Teknologi, ingeniørvidenskab og landbrug > Teknologi: generelle emner > Ingeniørvidenskab: generelt
- Teknologi, ingeniørvidenskab og landbrug > Energiteknik > Elektroteknik
- Teknologi, ingeniørvidenskab og landbrug > Elektronik og kommunikationsteknik > Elektronik teknik
- Databehandling og informationsteknologi > Informatik > Digital Signalbehandling
© 2024 Pling BØGER Registered company number: DK43351621