USING DEPTH-IS-POSITIVE CONSTRAINT TO RECOVER TRANSLATIONAL MOTION.

Shahriar Negahdaripour; Berthold K.P. Horn

USING DEPTH-IS-POSITIVE CONSTRAINT TO RECOVER TRANSLATIONAL MOTION.

Shahriar Negahdaripour, Berthold K.P. Horn

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

Abstract

The fact that only points in front of a camera system can be imaged as utilized to recover the motion of the camera from the information in the brightness variation over the entire image. Using the method given, there is no need to compute optical flow or to establish point correspondences.

Original language	English (US)
Title of host publication	Unknown Host Publication Title
Publisher	IEEE
Pages	138-144
Number of pages	7
ISBN (Print)	0818607793
State	Published - Dec 1 1987
Externally published	Yes

ASJC Scopus subject areas

Engineering(all)

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@inproceedings{bb46d18786ac41918fe7b67ed174ff96,

title = "USING DEPTH-IS-POSITIVE CONSTRAINT TO RECOVER TRANSLATIONAL MOTION.",

abstract = "The fact that only points in front of a camera system can be imaged as utilized to recover the motion of the camera from the information in the brightness variation over the entire image. Using the method given, there is no need to compute optical flow or to establish point correspondences.",

author = "Shahriar Negahdaripour and Horn, {Berthold K.P.}",

year = "1987",

month = dec,

day = "1",

language = "English (US)",

isbn = "0818607793",

publisher = "IEEE",

pages = "138--144",

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AU - Negahdaripour, Shahriar

AU - Horn, Berthold K.P.

PY - 1987/12/1

Y1 - 1987/12/1

N2 - The fact that only points in front of a camera system can be imaged as utilized to recover the motion of the camera from the information in the brightness variation over the entire image. Using the method given, there is no need to compute optical flow or to establish point correspondences.

AB - The fact that only points in front of a camera system can be imaged as utilized to recover the motion of the camera from the information in the brightness variation over the entire image. Using the method given, there is no need to compute optical flow or to establish point correspondences.

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M3 - Conference contribution

AN - SCOPUS:0023530953

SN - 0818607793

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BT - Unknown Host Publication Title

PB - IEEE

ER -