Smac A Scene Matching Chip

• doi: 10.1109/ICCD.1993.393384
• title: SMAC: A scene matching chip
• publisher: IEEE
• isbn: 0-8186-4230-0
• issn:
• partnum: 93CH3335-7
• rank: 3484
• access_type: LOCKED
• content_type: Conferences
• abstract: Scene matching is the problem of matching regions of two images of the same scene taken by different sensors at different times or under different viewing conditions. Hierarchical scene matching is a technique for reducing the amount of computation involved in scene matching applications. Most of the past research on this problem has concentrated on efficient software algorithms, and very little effort has been expended on custom hardware solutions. We describe the design of SMAC, a new VLSI architecture for Hierarchical Scene Matching. This architecture achieves a significant amount of speedup by utilizing a large amount of parallelism and pipelining. The paper also describes the design and implementation of a prototype CMOS VLSI chip that implements the exhaustive search task of the scene matching algorithm.<>
• article_number: 393384
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=393384
• html_url: https://ieeexplore.ieee.org/document/393384/
• abstract_url: https://ieeexplore.ieee.org/document/393384/
• publication_title: Proceedings of 1993 IEEE International Conference on Computer Design ICCD'93
• conference_location: Cambridge, MA, USA
• conference_dates: 3-6 Oct. 1993
• publication_number: 3140
• is_number: 8949
• publication_year: 1993
• publication_date: 3-6 Oct. 1993
• start_page: 184
• end_page: 187
• citing_paper_count: 0
• citing_patent_count: 0
• download_count: 77
• insert_date: 20020806
• index_terms:
  • ieee_terms:
    • Layout
    • Very large scale integration
    • Computer architecture
    • Image sensors
    • Application software
    • Software algorithms
    • Hardware
    • Parallel processing
    • Pipeline processing
    • Algorithm design and analysis
  • dynamic_index_terms:
    • Scene Matching
    • Pipelining
    • Pipe Line
    • Cured-in-place Pipe
    • Prototype
    • Parallelization
    • Parallel Computing
    • Exhaustive Search
    • Brute-force Search
    • Image Retrieval
    • Image Search
    • Hierarchical Algorithm
    • Template Matching
    • Clock Cycles
    • Template Search
• isbn_formats:
  • format: Print ISBN, value: 0-8186-4230-0, isbnType: Historical
• authors:
  • Author Name: N. Ranganathan
    Affiliation: Center for Microelectronics Research, University of South Florida, Tampa, FL, USA
    Author URL: https://ieeexplore.ieee.org/author/37273564100
    ID: 37273564100
    Order: 1
    Author Affiliations:
    • Center for Microelectronics Research, University of South Florida, Tampa, FL, USA
    • University of South Florida, Tampa, FL, US
  • Author Name: R. Sastry
    Affiliation: University of South Florida, Tampa, FL, US
    Author URL: https://ieeexplore.ieee.org/author/37352195900
    ID: 37352195900
    Order: 2
    Author Affiliations:
    • University of South Florida, Tampa, FL, US
  • Author Name: R. Venkatesan
    Affiliation: Center for Microelectron. Res., South Florida Univ., Tampa, FL, USA
    Author URL: https://ieeexplore.ieee.org/author/37389710500
    ID: 37389710500
    Order: 3
    Author Affiliations:
    • Center for Microelectron. Res., South Florida Univ., Tampa, FL, USA
  • Author Name: J.W. Yoder
    Affiliation: Center for Microelectronics Research, University of South Florida, Tampa, FL, USA
    Author URL: https://ieeexplore.ieee.org/author/38221335200
    ID: 38221335200
    Order: 4
    Author Affiliations:
    • Center for Microelectronics Research, University of South Florida, Tampa, FL, USA
  • Author Name: D. Keezer
    Affiliation: Center for Microelectronics Research, University of South Florida, Tampa, FL, USA
    Author URL: https://ieeexplore.ieee.org/author/38367428600
    ID: 38367428600
    Order: 5
    Author Affiliations:
    • Center for Microelectronics Research, University of South Florida, Tampa, FL, USA

Image Sensor

• sensor_type: CMOS
• resolution: Not specified
• dynamic_range: Not specified
• pixel_size: Not specified
• dark_current: Not specified

Optical Data

• focal_length: Not specified
• aperture: Not specified
• field_of_view: Not specified
• distortion: Not specified

Performance Metrics

Applications & Benefits

• cell_imaging: Not specified
• benefits: Not specified

Supporting Organizations

• supported_by: National Science Foundation Grant No.UIP-9010358

Manuscript Details

• publication_date: 3-6 Oct. 1993

Relevancy Score

• score: 2
• missing_fields:
  • pixel size
  • fill factor
  • quantum efficiency
  • dark current
  • signal-to-noise ratio
  • dynamic range
  • power consumption
  • readout speed
  • noise sources
  • analog-to-digital conversion techniques
  • microlenses
  • on-chip colour filters
  • global or rolling shutters
  • backside illumination

Processed JSON Filename

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