Integrating prior knowledge and structure from motion

Nicolas Guilbert; Henrik Aanæs; Rasmus Larsen

Integrating prior knowledge and structure from motion

Nicolas Guilbert, Henrik Aanæs, Rasmus Larsen

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Abstract

A new approach for formulating prior knowledge in structure form motion is presented, where the structure is viewed as a 3D stochastic variable, hereby priors are more naturally expressed. It is demonstrated that this formulation is efficient for regularizing structure reconstruction via prior knowledge. Specifically algorithms for imposing priors in the proposed formulation are presented.

Original language	English
Title of host publication	Proceedings of the Scandinavian Image Analysis - SCIA'01
Editors	Ivar Austvoll
Publication date	2001
Pages	477-481
Publication status	Published - 2001
Event	12th Scandinavian Conference on Image Analysis - Bergen, Norway Duration: 11 Jun 2001 → 14 Jun 2001 Conference number: 12

Conference

Conference	12th Scandinavian Conference on Image Analysis
Number	12
Country/Territory	Norway
City	Bergen
Period	11/06/2001 → 14/06/2001

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title = "Integrating prior knowledge and structure from motion",

abstract = "A new approach for formulating prior knowledge in structure form motion is presented, where the structure is viewed as a 3D stochastic variable, hereby priors are more naturally expressed. It is demonstrated that this formulation is efficient for regularizing structure reconstruction via prior knowledge. Specifically algorithms for imposing priors in the proposed formulation are presented.",

author = "Nicolas Guilbert and Henrik Aan{\ae}s and Rasmus Larsen",

year = "2001",

language = "English",

pages = "477--481",

editor = "Ivar Austvoll",

booktitle = "Proceedings of the Scandinavian Image Analysis - SCIA'01",

note = "12th Scandinavian Conference on Image Analysis, SCIA 2001 ; Conference date: 11-06-2001 Through 14-06-2001",

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AU - Guilbert, Nicolas

AU - Aanæs, Henrik

AU - Larsen, Rasmus

N1 - Conference code: 12

PY - 2001

Y1 - 2001

N2 - A new approach for formulating prior knowledge in structure form motion is presented, where the structure is viewed as a 3D stochastic variable, hereby priors are more naturally expressed. It is demonstrated that this formulation is efficient for regularizing structure reconstruction via prior knowledge. Specifically algorithms for imposing priors in the proposed formulation are presented.

AB - A new approach for formulating prior knowledge in structure form motion is presented, where the structure is viewed as a 3D stochastic variable, hereby priors are more naturally expressed. It is demonstrated that this formulation is efficient for regularizing structure reconstruction via prior knowledge. Specifically algorithms for imposing priors in the proposed formulation are presented.

M3 - Article in proceedings

SP - 477

EP - 481

BT - Proceedings of the Scandinavian Image Analysis - SCIA'01

A2 - Austvoll, Ivar

T2 - 12th Scandinavian Conference on Image Analysis

Y2 - 11 June 2001 through 14 June 2001

ER -

Integrating prior knowledge and structure from motion

Abstract

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