Results 11 to 20 of about 1,846,589 (284)

Generalized Event Cameras [PDF]

2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Event cameras capture the world at high time resolution and with minimal bandwidth requirements. However, event streams, which only encode changes in brightness, do not contain sufficient scene information to support a wide variety of downstream tasks.
Sundar, Varun, Dutson, Matthew, Ardelean, Andrei, Bruschini, Claudio, Charbon, Edoardo, Gupta, Mohit   +5 more
core   +7 more sources

Autofocus for Event Cameras

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
Focus control (FC) is crucial for cameras to capture sharp images in challenging real-world scenarios. The autofocus (AF) facilitates the FC by automatically adjusting the focus settings. However, due to the lack of effective AF methods for the recently introduced event cameras, their FC still relies on naive AF like manual focus adjustments, leading ...
Shijie Lin, Yinqiang Zhang, Lei Yu 0006, Bin Zhou, Xiaowei Luo, Jia Pan 0001   +5 more
openaire   +5 more sources

Feedback control of event cameras [PDF]

2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2021
Dynamic vision sensor event cameras produce a variable data rate stream of brightness change events. Event production at the pixel level is controlled by threshold, bandwidth, and refractory period bias current parameter settings. Biases must be adjusted to match application requirements and the optimal settings depend on many factors.
Tobi Delbruck, Rui Graca, Marcin Paluch
openaire   +5 more sources

Measuring Vibrations with Event Cameras [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
This paper presents a study of the use of synchronous event cameras to measure mechanical vibrations. The proposed methodology is based on two-dimensional point tracking and triangulation and achieves a precision comparable to that obtained with an ...
S. Baldini, R. Bernardini, A. Fusiello, P. Gardonio, R. Rinaldo   +4 more
doaj   +3 more sources

Event Cameras in Automotive Sensing: A Review

IEEE Access
Event cameras (EC) represent a paradigm shift and are emerging as valuable tools in the automotive industry, particularly for in-cabin and out-of-cabin monitoring.
Waseem Shariff, Mehdi Sefidgar Dilmaghani, Paul Kielty, Mohamed Moustafa, Joe Lemley, Peter Corcoran   +5 more
doaj   +4 more sources

Video to Events: Recycling Video Datasets for Event Cameras [PDF]

2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020
Event cameras are novel sensors that output brightness changes in the form of a stream of asynchronous "events" instead of intensity frames. They offer significant advantages with respect to conventional cameras: high dynamic range (HDR), high temporal resolution, and no motion blur.
Daniel Gehrig, Mathias Gehrig, Javier Hidalgo-Carrió, Davide Scaramuzza 0001   +3 more
openaire   +5 more sources

Autobiasing Event Cameras

This paper presents an autonomous method to address challenges arising from severe lighting conditions in machine vision applications that use event cameras. To manage these conditions, the research explores the built in potential of these cameras to adjust pixel functionality, named bias settings.
Mehdi Sefidgar Dilmaghani, Waseem Shariff, Cian Ryan, Joseph Lemley, Peter Corcoran 0001   +4 more
openaire   +4 more sources

Motion-Aware Optical Camera Communication With Event Cameras

IEEE Robotics and Automation Letters
As the ubiquity of smart mobile devices continues to rise, Optical Camera Communication systems have gained more attention as a solution for efficient and private data streaming. This system utilizes optical cameras to receive data from digital screens via visible light. Despite their promise, most of them are hindered by dynamic factors such as screen
Hang Su, Ling Gao 0001, Tao Liu, Laurent Kneip   +3 more
openaire   +4 more sources

Gait recognition with event cameras

Gait recognition is a fundamental task in activity tracking, health monitoring, security surveillance and many other computer vision applications. A variety of sensors have been utilised for gait recognition, such as standard cameras, infrared cameras, floor sensors and inertial sensors. However, each kind of sensor has its limitation by nature.
Du, Bowen
openaire   +3 more sources

High-Throughput Asynchronous Convolutions for High-Resolution Event-Cameras [PDF]

, 2022
Event cameras are promising sensors for on-line and real-time vision tasks due to their high temporal resolution, low latency, and redundant static data elimination. Many vision algorithms use some form of spatial convolution (i.e.
Leandro de Souza Rosa, Arren Glover, Chiara Bartolozzi, Aiko Dinale, Simeon Bamford, Dinale A., de Souza Rosa L., Bamford S., Bartolozzi C., Glover A.   +9 more
core   +2 more sources