Height estimation from vector fields of surface normals

G D J Smith; A G Bors

Height estimation from vector fields of surface normals

G D J Smith, A G Bors

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

In this paper we consider the problem of recovering the height information from a field of surface normals defined as three-dimensional (3-D) vectors. The algorithm starts from a certain location on the lattice and updates iteratively the heights in a neighbourhood. Then it proceeds to the neighbours of the already calculated heights. The updating rule is based on a gradient descent minimising the vector difference between the given surface normal, and the surface normal, extracted from the estimated height map at each site. The proposed algorithm is applied for recovering height information from Synthetic Aperture Radar (SAR) images of terrain.

Original language	English
Title of host publication	DSP 2002: 14TH INTERNATIONAL CONFERENCE ON DIGITAL SIGNAL PROCESSING PROCEEDINGS, VOLS 1 AND 2
Editors	AN Skodras, AG Constantinides
Place of Publication	NEW YORK
Publisher	IEEE
Pages	1031-1034
Number of pages	4
ISBN (Print)	0-7803-7503-3
Publication status	Published - 2002
Event	14th International Conference on Digital Signal Processing (DSP 2002) - Santorini Duration: 1 Jul 2002 → 3 Jul 2002

Conference

Conference	14th International Conference on Digital Signal Processing (DSP 2002)
City	Santorini
Period	1/07/02 → 3/07/02

Keywords

SHAPE

Cite this

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title = "Height estimation from vector fields of surface normals",

abstract = "In this paper we consider the problem of recovering the height information from a field of surface normals defined as three-dimensional (3-D) vectors. The algorithm starts from a certain location on the lattice and updates iteratively the heights in a neighbourhood. Then it proceeds to the neighbours of the already calculated heights. The updating rule is based on a gradient descent minimising the vector difference between the given surface normal, and the surface normal, extracted from the estimated height map at each site. The proposed algorithm is applied for recovering height information from Synthetic Aperture Radar (SAR) images of terrain.",

keywords = "SHAPE",

author = "Smith, {G D J} and Bors, {A G}",

year = "2002",

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pages = "1031--1034",

editor = "AN Skodras and AG Constantinides",

booktitle = "DSP 2002: 14TH INTERNATIONAL CONFERENCE ON DIGITAL SIGNAL PROCESSING PROCEEDINGS, VOLS 1 AND 2",

publisher = "IEEE",

address = "United States",

note = "14th International Conference on Digital Signal Processing (DSP 2002) ; Conference date: 01-07-2002 Through 03-07-2002",

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TY - GEN

T1 - Height estimation from vector fields of surface normals

AU - Smith, G D J

AU - Bors, A G

PY - 2002

Y1 - 2002

N2 - In this paper we consider the problem of recovering the height information from a field of surface normals defined as three-dimensional (3-D) vectors. The algorithm starts from a certain location on the lattice and updates iteratively the heights in a neighbourhood. Then it proceeds to the neighbours of the already calculated heights. The updating rule is based on a gradient descent minimising the vector difference between the given surface normal, and the surface normal, extracted from the estimated height map at each site. The proposed algorithm is applied for recovering height information from Synthetic Aperture Radar (SAR) images of terrain.

AB - In this paper we consider the problem of recovering the height information from a field of surface normals defined as three-dimensional (3-D) vectors. The algorithm starts from a certain location on the lattice and updates iteratively the heights in a neighbourhood. Then it proceeds to the neighbours of the already calculated heights. The updating rule is based on a gradient descent minimising the vector difference between the given surface normal, and the surface normal, extracted from the estimated height map at each site. The proposed algorithm is applied for recovering height information from Synthetic Aperture Radar (SAR) images of terrain.

KW - SHAPE

M3 - Conference contribution

SN - 0-7803-7503-3

SP - 1031

EP - 1034

BT - DSP 2002: 14TH INTERNATIONAL CONFERENCE ON DIGITAL SIGNAL PROCESSING PROCEEDINGS, VOLS 1 AND 2

A2 - Skodras, AN

A2 - Constantinides, AG

PB - IEEE

CY - NEW YORK

T2 - 14th International Conference on Digital Signal Processing (DSP 2002)

Y2 - 1 July 2002 through 3 July 2002

ER -