A Study of the Progressive Working of an Electric Product Using a 3D Shape Recognition Method

The International Journal of Advanced Manufacturing Technology ◽

10.1007/s001700200056 ◽

2002 ◽

Vol 19 (7) ◽

pp. 525-536 ◽

Author(s):

J.C. Choi ◽

Chul Kim ◽

J.H. Kim

Keyword(s):

Shape Recognition ◽

Recognition Method ◽

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Learning representative viewpoints in 3D shape recognition

The Visual Computer ◽

10.1007/s00371-021-02203-5 ◽

2021 ◽

Author(s):

Huazhen Chu ◽

Chao Le ◽

Rongquan Wang ◽

Xi Li ◽

Huimin Ma

Keyword(s):

Shape Recognition ◽

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Real-time 3D shape recognition of high speed moving object by fixation point tracking with active camera

Proceedings. 2000 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2000) (Cat. No.00CH37113) ◽

10.1109/iros.2000.894669 ◽

2002 ◽

Author(s):

K. Deguchi ◽

K. Yonaiyama

Keyword(s):

Real Time ◽

Shape Recognition ◽

Moving Object ◽

3D Shape ◽

Point Tracking ◽

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Demisting the Hough Transform for 3D Shape Recognition and Registration

International Journal of Computer Vision ◽

10.1007/s11263-013-0623-2 ◽

2013 ◽

Vol 106 (3) ◽

pp. 332-341 ◽

Author(s):

Oliver J. Woodford ◽

Minh-Tri Pham ◽

Atsuto Maki ◽

Frank Perbet ◽

Björn Stenger

Keyword(s):

Hough Transform ◽

Shape Recognition ◽

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Multi-view Convolutional Neural Networks for 3D Shape Recognition

2015 IEEE International Conference on Computer Vision (ICCV) ◽

10.1109/iccv.2015.114 ◽

2015 ◽

Author(s):

Hang Su ◽

Subhransu Maji ◽

Evangelos Kalogerakis ◽

Erik Learned-Miller

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Shape Recognition ◽

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An on-chip imaging droplet-sorting system: a real-time shape recognition method to screen target cells in droplets with single cell resolution

Scientific Reports ◽

10.1038/srep40072 ◽

2017 ◽

Vol 7 (1) ◽

Author(s):

Mathias Girault ◽

Hyonchol Kim ◽

Hisayuki Arakawa ◽

Kenji Matsuura ◽

Masao Odaka ◽

...

Keyword(s):

Single Cell ◽

Real Time ◽

Shape Recognition ◽

Target Cells ◽

Recognition Method ◽

System A ◽

Droplet Sorting ◽

On Chip ◽

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3D Shape Recognition Based on Uncoded Structured Light Using ANN Classifier

Advances in Smart Technologies Applications and Case Studies - Lecture Notes in Electrical Engineering ◽

10.1007/978-3-030-53187-4_16 ◽

2020 ◽

pp. 137-143

Author(s):

Kaoutar Baibai ◽

Mohamed Emharraf ◽

Wafae Mrabti ◽

Khalid Hachami ◽

Benaissa Bellach

Keyword(s):

Shape Recognition ◽

Structured Light ◽

3D Shape ◽

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Learning Attentive and Hierarchical Representations for 3D Shape Recognition

Computer Vision – ECCV 2020 - Lecture Notes in Computer Science ◽

10.1007/978-3-030-58555-6_7 ◽

2020 ◽

pp. 105-122

Author(s):

Jiaxin Chen ◽

Jie Qin ◽

Yuming Shen ◽

Li Liu ◽

Fan Zhu ◽

...

Keyword(s):

Shape Recognition ◽

3D Shape ◽

Hierarchical Representations

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1A1-F02 3D Shape Recognition Using Tactile Display Generating Tilt-Pad Sensations : Enhancive Study on Multi-Modal Display Generating Tactile and Force Sensations(Haptic Interface)

The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) ◽

10.1299/jsmermd.2012._1a1-f02_1 ◽

2012 ◽

Vol 2012 (0) ◽

pp. _1A1-F02_1-_1A1-F02_4

Author(s):

Satoshi TSUBOI ◽

Masahiro OHKA

Keyword(s):

Shape Recognition ◽

Tactile Display ◽

Haptic Interface ◽

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A New Algorithm for 3D Shape Recognition by Means of the 2D Point Distance Histogram

Computer Analysis of Images and Patterns - Lecture Notes in Computer Science ◽

10.1007/978-3-642-23678-5_26 ◽

2011 ◽

pp. 229-236 ◽

Author(s):

Dariusz Frejlichowski

Keyword(s):

Shape Recognition ◽

3D Shape ◽

Point Distance ◽

Distance Histogram

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Sliced voxel representations with LSTM and CNN for 3D shape recognition

2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) ◽

10.1109/apsipa.2017.8282044 ◽

2017 ◽

Author(s):

Ryo Miyagi ◽

Masaki Aono

Keyword(s):

Shape Recognition ◽

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