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Spin plays a pivotal role in ball-based sports.
An iterative image registration technique with an application to stereo vision (darpa)
Bruce D. Lucas and Takeo Kanade · 1981
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Measuring ball spin by image registration
Toru Tamaki, Takahiko Sugino, and Masanobu Yamamoto · 2004
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Pitching a baseball: tracking high-speed motion with multi-exposure images
Christian Theobalt, Irene Albrecht, Jörg Haber, Marcus Magnor, and Hans-Peter Seidel · 2004
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Single-Image 3D Reconstruction of Ball Velocity and Spin From Motion Blur - An Experiment in Motion-from-Blur
Giacomo Boracchi, Vincenzo Caglioti, and Alessandro Giusti · 2008
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A study on spin-rate measurement using a uniquely marked moving ball
Sho Furuno, Kazuyuki Kobayashi, Tomoyuki Okubo, and Yosuke Kurihara · 2009
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Dynamic model based ball trajectory prediction for a robot ping-pong player
Xiaopeng Chen, Ye Tian, Qiang Huang, Weimin Zhang, and Zhangguo Yu · 2010
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Measuring ball spin in monocular video
Alexander Szep · 2011
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Estimating the spin of a table tennis ball using inverse compositional image alignment
Toru Tamaki, Haoming Wang, Bisser Raytchev, Kazufumi Kaneda, and Yukihiko Ushiyama · 2012
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Trajectory prediction of spinning ball based on fuzzy filtering and local modeling for robotic ping–pong player
Hu Su, Zaojun Fang, De Xu, and Min Tan · 2013
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Tracking the spin on a ping pong ball with the quaternion bingham filter
Jared Glover and Leslie Pack Kaelbling · 2014
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Sensor-based stroke detection and stroke type classification in table tennis
Peter Blank, Julian Hoßbach, Dominik Schuldhaus, and Bjoern M. Eskofier · 2015
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U-Net: Convolutional Networks for Biomedical Image Segmentation , page 234–241
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
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Real-time spin estimation of ping-pong ball using its natural brand
Yifeng Zhang, Rong Xiong, Yongsheng Zhao, and Jianguo Wang · 2015
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Ball speed and spin estimation in table tennis using a racket-mounted inertial sensor
Peter Blank, Benjamin H. Groh, and Bjoern M. Eskofier · 2017
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Event-based plane-fitting optical flow for dynamic vision sensors in fpga
Myo Tun Aung, Rodney Teo, and Garrick Orchard · 2018
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Event-driven stereo visual tracking algorithm to solve object occlusion
Luis A. Camunas-Mesa, Teresa Serrano-Gotarredona, Sio-Hoi Ieng, Ryad Benosman, and Bernabe Linares-Barranco · 2018
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Asynchronous tracking-by-detection on adaptive time surfaces for event-based object tracking
Haosheng Chen, Qiangqiang Wu, Yanjie Liang, Xinbo Gao, and Hanzi Wang · 2019
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HASTE: multi-hypothesis asynchronous speeded-up tracking of events
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High speed event camera tracking
William Chamorro, Juan Andrade-Cetto, and Joan Solà · 2020
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Dynamic obstacle avoidance for quadrotors with event cameras
Davide Falanga, Kevin Kleber, and Davide Scaramuzza · 2020
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What Matters in Unsupervised Optical Flow , page 557–572
Rico Jonschkowski, Austin Stone, Jonathan T. Barron, Ariel Gordon, Kurt Konolige, and Anelia Angelova · 2020
Optical flow estimation by matching time surface with event-based cameras
Jun Nagata, Yusuke Sekikawa, and Yoshimitsu Aoki · 2021
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Event-based vision: A survey
Guillermo Gallego, Tobi Delbrück, Garrick Orchard, Chiara Bartolozzi, Brian Taba, Andrea Censi, Stefan Leutenegger, Andrew J. Davison, Jörg Conradt, Kostas Daniilidis, and Davide Scaramuzza · 2022
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Puck: Parallel surface and convolution-kernel tracking for event-based cameras, 2022
Luna Gava, Marco Monforte, Massimiliano Iacono, Chiara Bartolozzi, and Arren Glover · 2022
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luvharris: A practical corner detector for event-cameras
Arren Glover, Aiko Dinale, Leandro De Souza Rosa, Simeon Bamford, and Chiara Bartolozzi · 2022
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Semi-supervised Learning of Optical Flow by Flow Supervisor , page 302–318
Woobin Im, Sebin Lee, and Sung-Eui Yoon · 2022
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Leveraging human pose estimation model for stroke classification in table tennis
Soichiro Sato and Masaki Aono · 2020
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Fast image reconstruction with an event camera
Cedric Scheerlinck, Henri Rebecq, Daniel Gehrig, Nick Barnes, Robert E. Mahony, and Davide Scaramuzza · 2020
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Spin detection in robotic table tennis
Jonas Tebbe, Lukas Klamt, Yapeng Gao, and Andreas Zell · 2020
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RAFT: Recurrent All-Pairs Field Transforms for Optical Flow , page 402–419
Zachary Teed and Jia Deng · 2020
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Detecting stable keypoints from events through image gradient prediction
Philippe Chiberre, Etienne Perot, Amos Sironi, and Vincent Lepetit · 2021
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Feedback control of event cameras
Tobi Delbruck, Rui Graca, and Marcin Paluch · 2021
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Bernd Pfrommer · 2022
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Fast event-based optical flow estimation by triplet matching
Shintaro Shiba, Yoshimitsu Aoki, and Guillermo Gallego · 2022
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Black-box vs. gray-box: A case study on learning table tennis ball trajectory prediction with spin and impacts
Jan Achterhold, Philip Tobuschat, Hao Ma, Dieter Büchler, Michael Muehlebach, and Joerg Stueckler · 2023
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Event-based agile object catching with a quadrupedal robot
Benedek Forrai, Takahiro Miki, Daniel Gehrig, Marco Hutter, and Davide Scaramuzza · 2023
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Spindoe: A ball spin estimation method for table tennis robot
Thomas Gossard, Jonas Tebbe, Andreas Ziegler, and Andreas Zell · 2023
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Dense continuous-time optical flow from event cameras
Mathias Gehrig, Manasi Muglikar, and Davide Scaramuzza · 2024
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Spin measurement system for table tennis balls based on asynchronous non-high-speed cameras
Sho Tamaki, Satoshi Yamagata, and Sachiko Hashizume · 2024
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A novel trajectory-based ball spin estimation method for table tennis robot
Yuxin Wang, Zhiyong Sun, Yongle Luo, Haibo Zhang, Wen Zhang, Kun Dong, Qiyu He, Qiang Zhang, Erkang Cheng, and Bo Song · 2024
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Crsot: Cross-resolution object tracking using unaligned frame and event cameras
Yabin Zhu, Xiao Wang, Chenglong Li, Bo Jiang, Lin Zhu, Zhixiang Huang, Yonghong Tian, and Jin Tang · 2024
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