Wavelet-based primal vision model with selective attention mechanism

Ai qun Wang; Nan ning Zheng

Wavelet-based primal vision model with selective attention mechanism

Ai qun Wang
, Nan ning Zheng

College of Artificial Intelligence and Robotics

Xi'an Jiaotong University

Research output: Contribution to conference › Paper › peer-review

Abstract

In this paper we propose a scheme for primal vision model. In this scheme, a new spatial-dependent sampling approach based on wavelets' characteristics is proposed to represent an image with partial information and to form multi-frequency channels. A feedback channel imitating the human's `eye movement' is introduced to form a close-loop control. Finally, we attempt to realize the primal vision model with wavelet-based selective attention processing mechanism. Some experiments show that the proposed scheme is reasonable and effective.

Original language	English
Pages	161-168
Number of pages	8
State	Published - 1994
Event	Proceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems - Las Vegas, NV, USA Duration: 2 Oct 1994 → 5 Oct 1994

Conference

Conference	Proceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems
City	Las Vegas, NV, USA
Period	2/10/94 → 5/10/94

Cite this

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title = "Wavelet-based primal vision model with selective attention mechanism",

abstract = "In this paper we propose a scheme for primal vision model. In this scheme, a new spatial-dependent sampling approach based on wavelets' characteristics is proposed to represent an image with partial information and to form multi-frequency channels. A feedback channel imitating the human's `eye movement' is introduced to form a close-loop control. Finally, we attempt to realize the primal vision model with wavelet-based selective attention processing mechanism. Some experiments show that the proposed scheme is reasonable and effective.",

author = "Wang, \{Ai qun\} and Zheng, \{Nan ning\}",

year = "1994",

language = "英语",

pages = "161--168",

note = "Proceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems ; Conference date: 02-10-1994 Through 05-10-1994",

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AU - Wang, Ai qun

AU - Zheng, Nan ning

PY - 1994

Y1 - 1994

N2 - In this paper we propose a scheme for primal vision model. In this scheme, a new spatial-dependent sampling approach based on wavelets' characteristics is proposed to represent an image with partial information and to form multi-frequency channels. A feedback channel imitating the human's `eye movement' is introduced to form a close-loop control. Finally, we attempt to realize the primal vision model with wavelet-based selective attention processing mechanism. Some experiments show that the proposed scheme is reasonable and effective.

AB - In this paper we propose a scheme for primal vision model. In this scheme, a new spatial-dependent sampling approach based on wavelets' characteristics is proposed to represent an image with partial information and to form multi-frequency channels. A feedback channel imitating the human's `eye movement' is introduced to form a close-loop control. Finally, we attempt to realize the primal vision model with wavelet-based selective attention processing mechanism. Some experiments show that the proposed scheme is reasonable and effective.

UR - https://www.scopus.com/pages/publications/0028697513

M3 - 论文

AN - SCOPUS:0028697513

SP - 161

EP - 168

T2 - Proceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems

Y2 - 2 October 1994 through 5 October 1994

ER -

Wavelet-based primal vision model with selective attention mechanism

Abstract

Conference

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