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Compared to regular cameras, Dynamic Vision Sensors or Event Cameras can output compact visual data based on a change in the intensity in each pixel location asynchronously. In this paper, we study the application of current image-based…

Computer Vision and Pattern Recognition · Computer Science 2025-07-18 Masoud Dayani Najafabadi , Mohammad Reza Ahmadzadeh

Reconstructing the scene of robotic surgery from the stereo endoscopic video is an important and promising topic in surgical data science, which potentially supports many applications such as surgical visual perception, robotic surgery…

Computer Vision and Pattern Recognition · Computer Science 2021-07-02 Yonghao Long , Zhaoshuo Li , Chi Hang Yee , Chi Fai Ng , Russell H. Taylor , Mathias Unberath , Qi Dou

Event camera is an emerging bio-inspired vision sensors that report per-pixel brightness changes asynchronously. It holds noticeable advantage of high dynamic range, high speed response, and low power budget that enable it to best capture…

Computer Vision and Pattern Recognition · Computer Science 2023-04-07 Zhanpeng Shao , Wen Zhou , Wuzhen Wang , Jianyu Yang , Youfu Li

The game of table tennis is renowned for its extremely high spin rate, but most table tennis robots today struggle to handle balls with such rapid spin. To address this issue, we have contributed a series of methods, including: 1.…

Robotics · Computer Science 2025-03-04 Xiaoyi Hu , Yue Mao , Gang Wang , Qingdu Li , Jianwei Zhang , Yunfeng Ji

Event cameras are innovative neuromorphic sensors that asynchronously capture the scene dynamics. Due to the event-triggering mechanism, such cameras record event streams with much shorter response latency and higher intensity sensitivity…

Computer Vision and Pattern Recognition · Computer Science 2024-09-26 Yunhao Zou , Ying Fu , Tsuyoshi Takatani , Yinqiang Zheng

Low latency and accuracy are fundamental requirements when vision is integrated in robots for high-speed interaction with targets, since they affect system reliability and stability. In such a scenario, the choice of the sensor and…

Robotics · Computer Science 2022-05-17 Luna Gava , Marco Monforte , Massimiliano Iacono , Chiara Bartolozzi , Arren Glover

This work contributes an event-driven visual-tactile perception system, comprising a novel biologically-inspired tactile sensor and multi-modal spike-based learning. Our neuromorphic fingertip tactile sensor, NeuTouch, scales well with the…

Visual object tracking under challenging conditions of motion and light can be hindered by the capabilities of conventional cameras, prone to producing images with motion blur. Event cameras are novel sensors suited to robustly perform…

Computer Vision and Pattern Recognition · Computer Science 2022-12-16 Irene Perez-Salesa , Rodrigo Aldana-Lopez , Carlos Sagues

The current event cameras are bio-inspired sensors that respond to brightness changes in the scene asynchronously and independently for every pixel, and transmit these changes as ternary event streams. Event cameras have several benefits…

Computer Vision and Pattern Recognition · Computer Science 2024-09-04 Eero Lehtonen , Tuomo Komulainen , Ari Paasio , Mika Laiho

The event camera is a novel bio-inspired vision sensor. When the brightness change exceeds the preset threshold, the sensor generates events asynchronously. The number of valid events directly affects the performance of event-based tasks,…

Computer Vision and Pattern Recognition · Computer Science 2022-08-24 Xijie Xiang , Lin Zhu , Jianing Li , Yonghong Tian , Tiejun Huang

Recording fast motion in a high FPS (frame-per-second) requires expensive high-speed cameras. As an alternative, interpolating low-FPS videos from commodity cameras has attracted significant attention. If only low-FPS videos are available,…

Computer Vision and Pattern Recognition · Computer Science 2022-03-29 Weihua He , Kaichao You , Zhendong Qiao , Xu Jia , Ziyang Zhang , Wenhui Wang , Huchuan Lu , Yaoyuan Wang , Jianxing Liao

Event cameras are bio-inspired vision sensors that mimic retinas to asynchronously report per-pixel intensity changes rather than outputting an actual intensity image at regular intervals. This new paradigm of image sensor offers…

Computer Vision and Pattern Recognition · Computer Science 2019-04-02 Yusuke Sekikawa , Kosuke Hara , Hideo Saito

Event cameras have recently gained significant traction since they open up new avenues for low-latency and low-power solutions to complex computer vision problems. To unlock these solutions, it is necessary to develop algorithms that can…

Computer Vision and Pattern Recognition · Computer Science 2023-09-28 Federico Paredes-Vallés , Kirk Y. W. Scheper , Christophe De Wagter , Guido C. H. E. de Croon

Foresighted robot navigation in dynamic indoor environments with cost-efficient hardware necessitates the use of a lightweight yet dependable controller. So inferring the scene dynamics from sensor readings without explicit object tracking…

Robotics · Computer Science 2024-02-29 Jorge de Heuvel , Xiangyu Zeng , Weixian Shi , Tharun Sethuraman , Maren Bennewitz

In essence, successful grasp boils down to correct responses to multiple contact events between fingertips and objects. In most scenarios, tactile sensing is adequate to distinguish contact events. Due to the nature of high dimensionality…

Robotics · Computer Science 2019-10-10 Yazhan Zhang , Weihao Yuan , Zicheng Kan , Michael Yu Wang

In this paper, we address the challenging problem of action recognition, using event-based cameras. To recognise most gestural actions, often higher temporal precision is required for sampling visual information. Actions are defined by…

Computer Vision and Pattern Recognition · Computer Science 2019-03-19 Rohan Ghosh , Anupam Gupta , Andrei Nakagawa , Alcimar Soares , Nitish Thakor

Event cameras are a paradigm shift in camera technology. Instead of full frames, the sensor captures a sparse set of events caused by intensity changes. Since only the changes are transferred, those cameras are able to capture quick…

Computer Vision and Pattern Recognition · Computer Science 2017-03-22 Christian Reinbacher , Gottfried Munda , Thomas Pock

Tactile perception is crucial for a variety of robot tasks including grasping and in-hand manipulation. New advances in flexible, event-driven, electronic skins may soon endow robots with touch perception capabilities similar to humans.…

Signal Processing · Electrical Eng. & Systems 2020-08-19 Fuqiang Gu , Weicong Sng , Tasbolat Taunyazov , Harold Soh

Simulating event streams from 3D scenes has become a common practice in event-based vision research, as it meets the demand for large-scale, high temporal frequency data without setting up expensive hardware devices or undertaking extensive…

Computer Vision and Pattern Recognition · Computer Science 2025-09-03 Zhenyang Li , Xiaoyang Bai , Jinfan Lu , Pengfei Shen , Edmund Y. Lam , Yifan Peng

In contrast to traditional cameras, whose pixels have a common exposure time, event-based cameras are novel bio-inspired sensors whose pixels work independently and asynchronously output intensity changes (called "events"), with microsecond…

Computer Vision and Pattern Recognition · Computer Science 2025-07-01 Timo Stoffregen , Guillermo Gallego , Tom Drummond , Lindsay Kleeman , Davide Scaramuzza
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