Knowledge-Based Silhouette Detection

Antonio Fernández-Caballero

Research.Publish.Connect.

*Please fill out at least one Field. *Value must be an number!

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Name:
Country:
Subject:

Advanced Search Affiliations Search

If you're looking for an exact phrase use quotation marks on text fields.

Proceedings

Proceedings Search *Please fill out at least one Field. *Value must be an number!

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

Papers

Papers Search *Please fill out at least one Field.

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

Authors

Authors Search *Please fill out at least one Field.

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

Advanced Search

Paper

Knowledge-Based Silhouette Detection

In Proceedings of the 5th International Workshop on Pattern Recognition in Information Systems - Volume 0ICEIS, 114-123, 2005 , Miami, United States

Author: Antonio Fernández-Caballero

Affiliation: Universidad de Castilla-La Mancha, Spain

Abstract: A general-purpose neural model that challenges image understanding is presented in this paper. The model incorporates accumulative computation, lateral interaction and double time scale, and can be considered as biologically plausible. The model uses - at global time scale t and in form of accumulative computation - all the necessary mechanisms to detect movement from the grey level change at each pixel of the image. The information on the detected motion is useful as part of an object’s shape can be obtained. On a second time scale base T< pared to the most important current knowledge on motion analysis showing, this way its suitability to most well-known problems in silhouette detection. (More)

CC BY-NC-ND 4.0

Guest: Register as new SciTePress user now for free.

SciTePress user: please login.

My Papers

You are not signed in, therefore limits apply to your IP address 18.191.178.145

In the current month:

Recent papers: 100 available of 100 total

2⁺ years older papers: 200 available of 200 total

Paper citation in several formats:

Fernández-Caballero, A. (2005). Knowledge-Based Silhouette Detection. In Proceedings of the 5th International Workshop on Pattern Recognition in Information Systems (ICEIS 2005) - PRIS; ISBN 972-8865-28-7, SciTePress, pages 114-123. DOI: 10.5220/0002570001140123

@conference{pris05,
author={Antonio Fernández{-}Caballero},
title={Knowledge-Based Silhouette Detection},
booktitle={Proceedings of the 5th International Workshop on Pattern Recognition in Information Systems (ICEIS 2005) - PRIS},
year={2005},
pages={114-123},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002570001140123},
isbn={972-8865-28-7},
}

TY - CONF

JO - Proceedings of the 5th International Workshop on Pattern Recognition in Information Systems (ICEIS 2005) - PRIS
TI - Knowledge-Based Silhouette Detection
SN - 972-8865-28-7
AU - Fernández-Caballero, A.
PY - 2005
SP - 114
EP - 123
DO - 10.5220/0002570001140123
PB - SciTePress