A Binary-Feature-Based Object Recognition Accelerator With 22 M-Vector/s Throughput and 0.68 G-Vector/J Energy-Efficiency for Full-HD Resolution

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems ◽

10.1109/tcad.2018.2846634 ◽

2019 ◽

Vol 38 (7) ◽

pp. 1265-1277 ◽

Author(s):

Leibo Liu ◽

Wenping Zhu ◽

Shouyi Yin ◽

Shaojun Wei

Keyword(s):

Energy Efficiency ◽

Object Recognition ◽

Binary Feature ◽

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Line Feature Based Man-Made Object Recognition with Invariance

Chinese Journal of Computers ◽

10.3724/sp.j.1016.2010.01088 ◽

2010 ◽

Vol 33 (6) ◽

pp. 1088-1099 ◽

Author(s):

Hui WEI ◽

Zhen-Yu QIU

Keyword(s):

Object Recognition ◽

Line Feature ◽

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An Efficient Binary Feature Based on Hierarchical Structure Histogram

Proceedings of the 2020 International Conference on Computers, Information Processing and Advanced Education ◽

10.1145/3419635.3419713 ◽

2020 ◽

Author(s):

Wangsheng Yu ◽

Xianxiang Qin ◽

Peng Wang

Keyword(s):

Hierarchical Structure ◽

Binary Feature ◽

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Feature based 3D Object Recognition using Artificial Neural Networks

International Journal of Computer Applications ◽

10.5120/6256-8402 ◽

2012 ◽

Vol 44 (5) ◽

pp. 1-7 ◽

Author(s):

Abdel karimBaareh ◽

Alaa F. Sheta ◽

Mohammad S. Al-Batah

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Object Recognition ◽

3D Object Recognition ◽

3D Object ◽

Feature Based ◽

Artificial Neural

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Feature-Based Partially Occluded Object Recognition

2010 20th International Conference on Pattern Recognition ◽

10.1109/icpr.2010.735 ◽

2010 ◽

Author(s):

Na Fan

Keyword(s):

Object Recognition ◽

Feature Based ◽

Partially Occluded

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Preliminary Development of a Line Feature-Based Object Recognition System for Textureless Indoor Objects

Recent Progress in Robotics: Viable Robotic Service to Human - Lecture Notes in Control and Information Sciences ◽

10.1007/978-3-540-76729-9_20 ◽

2007 ◽

pp. 255-268 ◽

Author(s):

Gunhee Kim ◽

Martial Hebert ◽

Sung-Kee Park

Keyword(s):

Object Recognition ◽

Recognition System ◽

Line Feature ◽

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Improving feature based object recognition in service robotics by disparity map based segmentation

2010 IEEE/RSJ International Conference on Intelligent Robots and Systems ◽

10.1109/iros.2010.5652662 ◽

2010 ◽

Author(s):

D Asanza ◽

B Wirnitzer

Keyword(s):

Object Recognition ◽

Disparity Map ◽

Service Robotics ◽

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Feature-based correlation filters for object recognition

10.1117/12.141705 ◽

1993 ◽

Author(s):

Samuel P. Kozaitis ◽

Wesley E. Foor

Keyword(s):

Object Recognition ◽

Correlation Filters ◽

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Perceptual feature-based object recognition for automatic inspection

10.1117/12.150307 ◽

1993 ◽

Author(s):

Gary P. Brown ◽

Peter Forte ◽

Ron Malyan ◽

Peter Barnwell

Keyword(s):

Object Recognition ◽

Automatic Inspection ◽

Perceptual Feature ◽

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Gabor Feature Based Convolutional Neural Network for Object Recognition in Natural Scene

2016 3rd International Conference on Information Science and Control Engineering (ICISCE) ◽

10.1109/icisce.2016.91 ◽

2016 ◽

Author(s):

Hu Yao ◽

Li Chuyi ◽

Hu Dan ◽

Yu Weiyu

Keyword(s):

Neural Network ◽

Object Recognition ◽

Convolutional Neural Network ◽

Natural Scene ◽

Gabor Feature ◽

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Quantifying the Energy Efficiency of Object Recognition and Optical Flow

10.21236/ada605720 ◽

2014 ◽

Author(s):

Michael Anderson ◽

Forrest Iandola ◽

Kurt Keutzer

Keyword(s):

Energy Efficiency ◽

Object Recognition ◽

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