Proceedings of Conference on Computer Architectures for Machine Perception最新文献_第3页

Hierarchical and modular attention 分层和模块化注意

Proceedings of Conference on Computer Architectures for Machine Perception Pub Date : 1995-09-18 DOI: 10.1109/CAMP.1995.521044

H. Wechsler

{"title":"Hierarchical and modular attention","authors":"H. Wechsler","doi":"10.1109/CAMP.1995.521044","DOIUrl":"https://doi.org/10.1109/CAMP.1995.521044","url":null,"abstract":"The flow of visual input reaching the eye consists of huge amounts of time-varying information. It is crucial for both biological vision and automated systems to perceive and comprehend such a constantly changing environment within a relatively short processing time. To cope with such a computational challenge, one should locate and analyze only the information relevant to the current task by quickly focusing on selected areas of the scene as needed. Attention makes perception computationally tractable and helps with tasks such as object recognition. Attention permeates the whole stream of visual computation, it is both hierarchical and modular, and it involves representations, processing and strategies. Attentional mechanisms are intimately related to adaptation processes, and high-level attention corresponds to competitive, functional and learned behavioral programs. Attention consists of both data- and model-driven processes and their relationships, and it covers several levels such as sensory, reactive and behavioral processes. An example of how attention can be implemented considers time-varying imagery and it shows how functional linked pyramids and zoom lens operations lead to the generation of visual saccades. Both the time-varying imagery and the corresponding recognition memory are organized as pyramids and uniform indexing and classification interfaces using an attention pyramid are established. This paper concludes with a discussion on promising venues for future research that are most likely to enhance our understanding of attentional mechanisms.","PeriodicalId":277209,"journal":{"name":"Proceedings of Conference on Computer Architectures for Machine Perception","volume":"177 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115219944","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

An object oriented computational model for handwritten document recognition 面向对象的手写文档识别计算模型

Proceedings of Conference on Computer Architectures for Machine Perception Pub Date : 1995-09-18 DOI: 10.1109/CAMP.1995.521036

K. Ohmori

引用次数: 1

Video-rate pyramid optical flow computation on the linear SIMD array IVIP 线性SIMD阵列上的视频率金字塔光流计算

Proceedings of Conference on Computer Architectures for Machine Perception Pub Date : 1995-09-18 DOI: 10.1109/CAMP.1995.521051

M. Johannesson, Mats Gokstorp

引用次数: 2

Efficient image processing applications on a network of workstations 在工作站网络上的高效图像处理应用程序

Proceedings of Conference on Computer Architectures for Machine Perception Pub Date : 1995-09-18 DOI: 10.1109/CAMP.1995.521033

M. Hamdi, Chi-kin Lee

引用次数: 6

Satellite Digital Elevation Model on the heterogeneous OPENVISION parallel computer 基于异构OPENVISION并行计算机的卫星数字高程模型

Proceedings of Conference on Computer Architectures for Machine Perception Pub Date : 1995-09-18 DOI: 10.1109/CAMP.1995.521072

H. Essafi, C. Mazzoni, P. Julien, O. Jamet

{"title":"Satellite Digital Elevation Model on the heterogeneous OPENVISION parallel computer","authors":"H. Essafi, C. Mazzoni, P. Julien, O. Jamet","doi":"10.1109/CAMP.1995.521072","DOIUrl":"https://doi.org/10.1109/CAMP.1995.521072","url":null,"abstract":"The goal of the Digital Elevation Model is to generate an accurate three-dimensional scene using a stereo vision technique. In the stereo matching process two techniques are utilized, an area-based and feature-based to generate a disparity map. In our application we use an area-based approach coupled with the prediction validation techniques. The computation of the Digital Elevation Model (DEM) is based on correlation, also called matching, to determine the pixel correspondence in a pair of stereo spatial images. It is a fundamental step in digital mapping. The French \"Institut Geographique National\" (IGN) has developed a system to provide DEM. The kernel of this system is based on an incremental correlation method, which is the bottleneck in the map production because of its expenditure of computing time. In the same way the CEA-LETI has developed in collaboration with the IRIT laboratory (Toulouse University), a SIMD calculator SYMPATI2 dedicated to image processing, and integrated in the OPENVISION real-time system. The IGN DEM of SPOT images (6000/spl times/6000) takes 20 hours using a Sparc 10 workstation. In order to reduce this computation time we studied the parallelization and the implementation the IGN algorithm on OPENVISION.","PeriodicalId":277209,"journal":{"name":"Proceedings of Conference on Computer Architectures for Machine Perception","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130850176","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Visual attention: detecting abrupt onsets within the selective tuning model 视觉注意:在选择性调谐模型中检测突然发作

Proceedings of Conference on Computer Architectures for Machine Perception Pub Date : 1995-09-18 DOI: 10.1109/CAMP.1995.521022

John K. Tsotsos, Sean M. Culhane, W. Y. Wai

引用次数: 3

Systolic processors applied to computer vision systems 应用于计算机视觉系统的收缩处理器

Proceedings of Conference on Computer Architectures for Machine Perception Pub Date : 1995-09-18 DOI: 10.1109/CAMP.1995.521037

F. Serratosa, P. Millán, E. Montseny

引用次数: 2

Design, implementation, and performance of a scalable multi-camera interactive video capture system 一个可扩展的多摄像机交互式视频捕捉系统的设计、实现和性能

Proceedings of Conference on Computer Architectures for Machine Perception Pub Date : 1995-09-18 DOI: 10.1109/CAMP.1995.521029

Martin Frankel, Jon, Webb

引用次数: 4

Fast computation of multiscalar symmetry in foveated images 注视点图像中多标量对称性的快速计算

Proceedings of Conference on Computer Architectures for Machine Perception Pub Date : 1995-09-18 DOI: 10.1109/CAMP.1995.521013

M. Bolduc, G. Sela, M. Levine

引用次数: 9

Towards the empirical design of massively parallel arrays for spatially mapped applications 面向空间映射应用的大规模并行阵列的经验设计

Proceedings of Conference on Computer Architectures for Machine Perception Pub Date : 1995-09-18 DOI: 10.1109/CAMP.1995.521020

M. Herbordt, C. Weems

引用次数: 5