Dynamic Vision Shape from Motion
(2003) In MSc ThesesDepartment of Automatic Control
- Abstract
- Dynamic vision is a class of problems in computer vision that calculates properties of the3D world through the dynamics of the system observing by cameras. In this thesis we introduce the issue of motion and shape estimation with the aid of a single camera and for particular objects as points, planar surfaces and polyhedrons. This problem is well known in literature as Shape from Motion. We are interested in building a framework that, starting from a sequence of images that has been recorded from a camera, achieves the geometrical and dynamics properties of the 3D scene. In the first part we inspect the motion estimation through the 2D frames recorded by the camera. In particular we present a possible recursive approach for Optical Flow... (More)
- Dynamic vision is a class of problems in computer vision that calculates properties of the3D world through the dynamics of the system observing by cameras. In this thesis we introduce the issue of motion and shape estimation with the aid of a single camera and for particular objects as points, planar surfaces and polyhedrons. This problem is well known in literature as Shape from Motion. We are interested in building a framework that, starting from a sequence of images that has been recorded from a camera, achieves the geometrical and dynamics properties of the 3D scene. In the first part we inspect the motion estimation through the 2D frames recorded by the camera. In particular we present a possible recursive approach for Optical Flow estimation. The second part introduces a new class of problems in system theory that are suitable for applications of computer vision. This subject has been called perspective system theory. We consider typical issue as observability, identifiability and realization theory for this branch of problems. Results has been shown through use of algebraic and recursive estimation algorithms. (Less)
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/student-papers/record/8848076
- author
- Casagrande, Erik
- supervisor
- organization
- year
- 2003
- type
- H3 - Professional qualifications (4 Years - )
- subject
- publication/series
- MSc Theses
- report number
- TFRT-5707
- ISSN
- 0280-5316
- language
- English
- id
- 8848076
- date added to LUP
- 2016-03-19 17:36:41
- date last changed
- 2016-03-19 17:36:41
@misc{8848076,
abstract = {{Dynamic vision is a class of problems in computer vision that calculates properties of the3D world through the dynamics of the system observing by cameras. In this thesis we introduce the issue of motion and shape estimation with the aid of a single camera and for particular objects as points, planar surfaces and polyhedrons. This problem is well known in literature as Shape from Motion. We are interested in building a framework that, starting from a sequence of images that has been recorded from a camera, achieves the geometrical and dynamics properties of the 3D scene. In the first part we inspect the motion estimation through the 2D frames recorded by the camera. In particular we present a possible recursive approach for Optical Flow estimation. The second part introduces a new class of problems in system theory that are suitable for applications of computer vision. This subject has been called perspective system theory. We consider typical issue as observability, identifiability and realization theory for this branch of problems. Results has been shown through use of algebraic and recursive estimation algorithms.}},
author = {{Casagrande, Erik}},
issn = {{0280-5316}},
language = {{eng}},
note = {{Student Paper}},
series = {{MSc Theses}},
title = {{Dynamic Vision Shape from Motion}},
year = {{2003}},
}