Generalizing the generalized hough transform

Haim J. Wolfson

doi:10.1016/0167-8655(91)90157-H

Generalizing the generalized hough transform

Haim J. Wolfson^*

^*Corresponding author for this work

School of Computer Science

Research output: Contribution to journal › Article › peer-review

Abstract

We present a new method for model based recognition of articulated objects in cluttered scenes. The objects consist of rigid parts connected by rotary or prismatic joints. Our method is based on an extension of the Generalized Hough Transform paradigm. It is applicable to various viewing transformations. Unlike previous methods no significant degradation is expected in performance for recognition of articulated objects compared with the recognition of rigid objects containing a similar amount of information.

Original language	English
Pages (from-to)	565-573
Number of pages	9
Journal	Pattern Recognition Letters
Volume	12
Issue number	9
DOIs	https://doi.org/10.1016/0167-8655(91)90157-H
State	Published - Sep 1991

Keywords

Articulated objects
generalized Hough transform
object recognition

Access to Document

10.1016/0167-8655(91)90157-H

Cite this

@article{88a69530432941409a49e836e8963d0c,

title = "Generalizing the generalized hough transform",

abstract = "We present a new method for model based recognition of articulated objects in cluttered scenes. The objects consist of rigid parts connected by rotary or prismatic joints. Our method is based on an extension of the Generalized Hough Transform paradigm. It is applicable to various viewing transformations. Unlike previous methods no significant degradation is expected in performance for recognition of articulated objects compared with the recognition of rigid objects containing a similar amount of information.",

keywords = "Articulated objects, generalized Hough transform, object recognition",

author = "Wolfson, {Haim J.}",

note = "Funding Information: * This research was supported by grant No. 89-00481/1 from the US-Israel Binational Science Foundation (BSF), Jerusalem, Israel.",

year = "1991",

month = sep,

doi = "10.1016/0167-8655(91)90157-H",

language = "אנגלית",

volume = "12",

pages = "565--573",

journal = "Pattern Recognition Letters",

issn = "0167-8655",

publisher = "Elsevier",

number = "9",

}

TY - JOUR

T1 - Generalizing the generalized hough transform

AU - Wolfson, Haim J.

N1 - Funding Information: * This research was supported by grant No. 89-00481/1 from the US-Israel Binational Science Foundation (BSF), Jerusalem, Israel.

PY - 1991/9

Y1 - 1991/9

N2 - We present a new method for model based recognition of articulated objects in cluttered scenes. The objects consist of rigid parts connected by rotary or prismatic joints. Our method is based on an extension of the Generalized Hough Transform paradigm. It is applicable to various viewing transformations. Unlike previous methods no significant degradation is expected in performance for recognition of articulated objects compared with the recognition of rigid objects containing a similar amount of information.

AB - We present a new method for model based recognition of articulated objects in cluttered scenes. The objects consist of rigid parts connected by rotary or prismatic joints. Our method is based on an extension of the Generalized Hough Transform paradigm. It is applicable to various viewing transformations. Unlike previous methods no significant degradation is expected in performance for recognition of articulated objects compared with the recognition of rigid objects containing a similar amount of information.

KW - Articulated objects

KW - generalized Hough transform

KW - object recognition

UR - http://www.scopus.com/inward/record.url?scp=0026301147&partnerID=8YFLogxK

U2 - 10.1016/0167-8655(91)90157-H

DO - 10.1016/0167-8655(91)90157-H

M3 - מאמר

AN - SCOPUS:0026301147

VL - 12

SP - 565

EP - 573

JO - Pattern Recognition Letters

JF - Pattern Recognition Letters

SN - 0167-8655

IS - 9

ER -

Generalizing the generalized hough transform

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this