Combining depth and intensity processing for scene description and object recognition

G. Zhang; W. J. Austin; Andy M. Wallace

Combining depth and intensity processing for scene description and object recognition

G. Zhang, W. J. Austin, Andy M. Wallace

School of Engineering & Physical Sciences

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

2 Citations (Scopus)

Abstract

Two approaches to the combination of range and intensity data for scene description and object recognition are described. First, low level iconic intensity and depth data are combined into a single low level image description consisting of semantically labelled edges and reconstructed depth data. Second, boundary and surface primitives derived from depth and intensity images are used to identify and locate models in a cooperative, message passing system. Each approach is illustrated by specific examples.

Original language	English
Title of host publication	Proceedings of SPIE - The International Society for Optical Engineering
Pages	49-59
Number of pages	11
Volume	1828
Publication status	Published - 1993
Event	Sensor Fusion V - Boston, MA, USA Duration: 15 Nov 1992 → 17 Nov 1992

Conference

Conference	Sensor Fusion V
City	Boston, MA, USA
Period	15/11/92 → 17/11/92

Cite this

@inproceedings{dcdb01ebdaf1447096b8d16f60027f04,

title = "Combining depth and intensity processing for scene description and object recognition",

abstract = "Two approaches to the combination of range and intensity data for scene description and object recognition are described. First, low level iconic intensity and depth data are combined into a single low level image description consisting of semantically labelled edges and reconstructed depth data. Second, boundary and surface primitives derived from depth and intensity images are used to identify and locate models in a cooperative, message passing system. Each approach is illustrated by specific examples.",

author = "G. Zhang and Austin, {W. J.} and Wallace, {Andy M.}",

year = "1993",

language = "English",

isbn = "0819410292",

volume = "1828",

pages = "49--59",

booktitle = "Proceedings of SPIE - The International Society for Optical Engineering",

note = "Sensor Fusion V ; Conference date: 15-11-1992 Through 17-11-1992",

}

TY - GEN

T1 - Combining depth and intensity processing for scene description and object recognition

AU - Zhang, G.

AU - Austin, W. J.

AU - Wallace, Andy M.

PY - 1993

Y1 - 1993

N2 - Two approaches to the combination of range and intensity data for scene description and object recognition are described. First, low level iconic intensity and depth data are combined into a single low level image description consisting of semantically labelled edges and reconstructed depth data. Second, boundary and surface primitives derived from depth and intensity images are used to identify and locate models in a cooperative, message passing system. Each approach is illustrated by specific examples.

AB - Two approaches to the combination of range and intensity data for scene description and object recognition are described. First, low level iconic intensity and depth data are combined into a single low level image description consisting of semantically labelled edges and reconstructed depth data. Second, boundary and surface primitives derived from depth and intensity images are used to identify and locate models in a cooperative, message passing system. Each approach is illustrated by specific examples.

UR - http://www.scopus.com/inward/record.url?scp=0027266086&partnerID=8YFLogxK

M3 - Conference contribution

SN - 0819410292

VL - 1828

SP - 49

EP - 59

BT - Proceedings of SPIE - The International Society for Optical Engineering

T2 - Sensor Fusion V

Y2 - 15 November 1992 through 17 November 1992

ER -

Combining depth and intensity processing for scene description and object recognition

Abstract

Conference

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