Seventh International Workshop on Computer Architecture for Machine Perception (CAMP'05)最新文献_第3页

Three-dimensional template correlation: object recognition in 3D voxel data 三维模板关联:三维体素数据中的目标识别

Seventh International Workshop on Computer Architecture for Machine Perception (CAMP'05) Pub Date : 2005-07-04 DOI: 10.1109/CAMP.2005.52

T. Court, Y. Gu, M. Herbordt

{"title":"Three-dimensional template correlation: object recognition in 3D voxel data","authors":"T. Court, Y. Gu, M. Herbordt","doi":"10.1109/CAMP.2005.52","DOIUrl":"https://doi.org/10.1109/CAMP.2005.52","url":null,"abstract":"Correlation is a standard technique for recognizing known patterns in two-dimensional grid (pixel) images. Its obvious importance has led to numerous hardware implementations and variations. Images captured directly onto 3D voxel grids are becoming more common, including those from confocal microscopy and medical imaging technologies. To our knowledge, no one has yet addressed correlation as a technique for recognizing 3D templates in such 3D voxel data. We find that this problem includes a number of issues: efficient three-axis rotation of a template with respect to 3D image, large volume of results from the correlation, and the possibility of a template matching an image multiple times. We briefly review techniques that have been used in 2D template matching, and examine analogies to a molecule interaction problem in computational chemistry, including its similarity to multispectral images. We report on a hardware accelerator for the 3D correlation problem, based on a commodity coprocessor board containing field programmable logic arrays (FPGAs). Because the convolution processor is built from reconfigurable logic, it can be adapted to non-linear scoring algorithms using complex data values at each voxel, and can be tailored to solve other problems such as anisotropic grid axes. We present initial performance results for the FPGA implementation, and note that accelerator performance is likely to grow roughly linearly with FPGA capacity, process improvements, and number of FPGAs.","PeriodicalId":393875,"journal":{"name":"Seventh International Workshop on Computer Architecture for Machine Perception (CAMP'05)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2005-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134001931","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: 14

An architectural model for combining spatial-based and object-based information for attentive video analysis 一个结合基于空间和基于对象的信息的架构模型，用于专注的视频分析

Seventh International Workshop on Computer Architecture for Machine Perception (CAMP'05) Pub Date : 2005-07-04 DOI: 10.1109/CAMP.2005.10

Giuseppe Boccignone, V. Caggiano, A. Marcelli, Paolo Napoletano, G. D. Fiore

引用次数: 1

Streaming I/O for imaging applications 用于成像应用的流I/O

Seventh International Workshop on Computer Architecture for Machine Perception (CAMP'05) Pub Date : 2005-07-04 DOI: 10.1109/CAMP.2005.50

S. Chai, A. López-Lagunas

引用次数: 7

A smart image sensor with attention modules 带有注意力模块的智能图像传感器

Seventh International Workshop on Computer Architecture for Machine Perception (CAMP'05) Pub Date : 2005-07-04 DOI: 10.1109/CAMP.2005.7

M. Park, K. Cheoi, T. Hamamoto

{"title":"A smart image sensor with attention modules","authors":"M. Park, K. Cheoi, T. Hamamoto","doi":"10.1109/CAMP.2005.7","DOIUrl":"https://doi.org/10.1109/CAMP.2005.7","url":null,"abstract":"In this paper, a CMOS digital image sensor, which consists of A/D conversion, motion estimation circuits, and attention modules for ROI (region of interest) perception is presented. The functions of A/D conversion and motion estimation are implemented by 0.6 m CMOS processing circuit on chip, and attention modules are implemented off the chip as software currently. Attention modules are taken to improve limited applications of the smart image sensor. If the attention module is integrated on a smart sensor, we can use this sensor for tracking some regions of interest without outputting all pixels. The current smart image sensor responses to the changes of intensity, and uses the integration time to estimate motion. To make up for inherent property of the sensor from circuit design and extend its applications we decide to introduce some perceptive solutions to the image sensor. Attention modules for still and moving images are employed to achieve such purposes. The suggested approach also makes the smart image sensor initiate perceptive functions for such cases that motion estimation or intensity changes are not observed. Experimental results present the possibility that the smart image sensor can extract ROIs and use them when it selectively outputs pixels.","PeriodicalId":393875,"journal":{"name":"Seventh International Workshop on Computer Architecture for Machine Perception (CAMP'05)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2005-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129786810","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: 8

SVG rendering for Internet imaging 用于互联网成像的SVG渲染

Seventh International Workshop on Computer Architecture for Machine Perception (CAMP'05) Pub Date : 2005-07-04 DOI: 10.1109/CAMP.2005.51

S. Battiato, G. D. Blasi, G. Gallo, G. Messina, Salvatore Nicotra

引用次数: 14

Performance analysis of a CBIR system on shared-memory systems and heterogeneous clusters 共享内存系统和异构集群上CBIR系统的性能分析

Seventh International Workshop on Computer Architecture for Machine Perception (CAMP'05) Pub Date : 2005-07-04 DOI: 10.1109/CAMP.2005.40

O. D. Robles, J. L. Bosque, L. Pastor, Angel Rodríguez

引用次数: 16

Development of a bit-level compiler for massively parallel vision chips 面向大规模并行视觉芯片的位级编译器的开发

Seventh International Workshop on Computer Architecture for Machine Perception (CAMP'05) Pub Date : 2005-07-04 DOI: 10.1109/CAMP.2005.21

T. Komuro, S. Kagami, M. Ishikawa, Yoshio Katayama

引用次数: 3

Implementing motion Markov detection on general purpose processor and associative mesh 在通用处理器和关联网格上实现运动马尔可夫检测

Seventh International Workshop on Computer Architecture for Machine Perception (CAMP'05) Pub Date : 2005-07-04 DOI: 10.1109/CAMP.2005.31

J. Denoulet, Ghilès Mostafaoui, L. Lacassagne, A. Mérigot

引用次数: 15

Visualization, clustering and classification of multidimensional astronomical data 多维天文数据的可视化、聚类与分类

Seventh International Workshop on Computer Architecture for Machine Perception (CAMP'05) Pub Date : 2005-07-04 DOI: 10.1109/CAMP.2005.54

A. Staiano, A. Ciaramella, L. D. Vinco, G. Longo, G. Raiconi, R. Tagliaferri, R. Amato, C. D. Mondo, G. Mangano, G. Miele

引用次数: 2

Prey-predator strategies in a multiagent system 多智能体系统中的捕食策略

Seventh International Workshop on Computer Architecture for Machine Perception (CAMP'05) Pub Date : 2005-07-04 DOI: 10.1109/CAMP.2005.42

B. Lenzitti, D. Tegolo, Cesare Valenti

引用次数: 7