Handbook of Mathematical Models in Computer Vision
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| Název: | Handbook of Mathematical Models in Computer Vision |
|---|---|
| Popis: | Abstract Biological vision is a rather fascinating domain of research. Scientists of various origins like biology, medicine, neurophysiology, engineering, math ematics, etc. aim to understand the processes leading to visual perception process and at reproducing such systems. Understanding the environment is most of the time done through visual perception which appears to be one of the most fundamental sensory abilities in humans and therefore a significant amount of research effort has been dedicated towards modelling and repro ducing human visual abilities. Mathematical methods play a central role in this endeavour. Introduction David Marr's theory v^as a pioneering step tov^ards understanding visual percep tion. In his view human vision was based on a complete surface reconstruction of the environment that was then used to address visual subtasks. This approach was proven to be insufficient by neuro-biologists and complementary ideas from statistical pattern recognition and artificial intelligence were introduced to bet ter address the visual perception problem. In this framework visual perception is represented by a set of actions and rules connecting these actions. The emerg ing concept of active vision consists of a selective visual perception paradigm that is basically equivalent to recovering from the environment the minimal piece information required to address a particular task of interest. |
| Autoři: | Nikos Paragios, Yunmei Chen, Olivier D. Faugeras |
| Resource Type: | eBook. |
| Témata: | Computer vision--Mathematical models--Handbooks, manuals, etc |
| Categories: | COMPUTERS / Computer Simulation, COMPUTERS / Image Processing, COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition, MATHEMATICS / Applied |
| Databáze: | eBook Index |
| FullText | Text: Availability: 0 |
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| Header | DbId: edsebk DbLabel: eBook Index An: 150726 RelevancyScore: 862 AccessLevel: 6 PubType: eBook PubTypeId: ebook PreciseRelevancyScore: 861.970825195313 |
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| Items | – Name: Title Label: Title Group: Ti Data: Handbook of Mathematical Models in Computer Vision – Name: Abstract Label: Description Group: Ab Data: Abstract Biological vision is a rather fascinating domain of research. Scientists of various origins like biology, medicine, neurophysiology, engineering, math­ ematics, etc. aim to understand the processes leading to visual perception process and at reproducing such systems. Understanding the environment is most of the time done through visual perception which appears to be one of the most fundamental sensory abilities in humans and therefore a significant amount of research effort has been dedicated towards modelling and repro­ ducing human visual abilities. Mathematical methods play a central role in this endeavour. Introduction David Marr's theory v^as a pioneering step tov^ards understanding visual percep­ tion. In his view human vision was based on a complete surface reconstruction of the environment that was then used to address visual subtasks. This approach was proven to be insufficient by neuro-biologists and complementary ideas from statistical pattern recognition and artificial intelligence were introduced to bet­ ter address the visual perception problem. In this framework visual perception is represented by a set of actions and rules connecting these actions. The emerg­ ing concept of active vision consists of a selective visual perception paradigm that is basically equivalent to recovering from the environment the minimal piece information required to address a particular task of interest. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Nikos+Paragios%22">Nikos Paragios</searchLink><br /><searchLink fieldCode="AR" term="%22Yunmei+Chen%22">Yunmei Chen</searchLink><br /><searchLink fieldCode="AR" term="%22Olivier+D%2E+Faugeras%22">Olivier D. Faugeras</searchLink> – Name: TypePub Label: Resource Type Group: TypPub Data: eBook. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Computer+vision--Mathematical+models--Handbooks%2C+manuals%2C+etc%22">Computer vision--Mathematical models--Handbooks, manuals, etc</searchLink> – Name: SubjectBISAC Label: Categories Group: Su Data: <searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Computer+Simulation%22">COMPUTERS / Computer Simulation</searchLink><br /><searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Image+Processing%22">COMPUTERS / Image Processing</searchLink><br /><searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Artificial+Intelligence+%2F+Computer+Vision+%26+Pattern+Recognition%22">COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition</searchLink><br /><searchLink fieldCode="ZK" term="%22MATHEMATICS+%2F+Applied%22">MATHEMATICS / Applied</searchLink> |
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| RecordInfo | BibRecord: BibEntity: Classifications: – Code: 006.37015118 Scheme: ddc Type: prePub Languages: – Code: eng Text: English Subjects: – SubjectFull: Computer vision--Mathematical models--Handbooks, manuals, etc Type: general Titles: – TitleFull: Handbook of Mathematical Models in Computer Vision Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Nikos Paragios – PersonEntity: Name: NameFull: Yunmei Chen – PersonEntity: Name: NameFull: Olivier D. Faugeras – PersonEntity: Name: NameFull: Nikos Paragios – PersonEntity: Name: NameFull: Yunmei Chen – PersonEntity: Name: NameFull: Olivier D. Faugeras IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2006 – D: 04 M: 02 Type: profile Y: 2014 Identifiers: – Type: isbn-print Value: 9780387263717 – Type: isbn-print Value: 9781441938855 – Type: isbn-electronic Value: 9780387288314 Titles: – TitleFull: Handbook of Mathematical Models in Computer Vision Type: main |
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