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Face Pose Alignment with Event Cameras [PDF]
Sensors, 2020 Event camera (EC) emerges as a bio-inspired sensor which can be an alternative or complementary vision modality with the benefits of energy efficiency, high dynamic range, and high temporal resolution coupled with activity dependent sparse sensing.
Arman Savran, Chiara Bartolozzi
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Event Cameras in Automotive Sensing: A Review
IEEE AccessEvent 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 +5 more
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Real-Time Multi-Task Facial Analytics With Event Cameras
IEEE Access, 2023 Event cameras, unlike traditional frame-based cameras, excel in detecting and reporting changes in light intensity on a per-pixel basis. This unique technology offers numerous advantages, including high temporal resolution, low latency, wide dynamic ...
Cian Ryan +6 more
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Application of Event Cameras and Neuromorphic Computing to VSLAM: A Survey [PDF]
BiomimeticsSimultaneous Localization and Mapping (SLAM) is a crucial function for most autonomous systems, allowing them to both navigate through and create maps of unfamiliar surroundings.
Sangay Tenzin +2 more
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Faces in Event Streams (FES): An Annotated Face Dataset for Event Cameras [PDF]
SensorsThe use of event-based cameras in computer vision is a growing research direction. However, despite the existing research on face detection using the event camera, a substantial gap persists in the availability of a large dataset featuring annotations ...
Ulzhan Bissarinova +3 more
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Towards Anytime Optical Flow Estimation with Event Cameras [PDF]
SensorsEvent cameras respond to changes in log-brightness at the millisecond level, making them ideal for optical flow estimation. However, existing datasets from event cameras provide only low-frame-rate ground truth for optical flow, limiting the research ...
Yaozu Ye +7 more
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A Joint Global and Local Temporal Modeling for Human Pose Estimation with Event Cameras [PDF]
SensorsEvent-based cameras, inspired by biological vision, asynchronously capture per-pixel brightness changes, producing streams of events with higher temporal resolution, dynamic range, and lower latency than conventional cameras.
Feifan Du +4 more
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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.
Varun Sundar +2 more
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Hardware, Algorithms, and Applications of the Neuromorphic Vision Sensor: A Review [PDF]
SensorsEvent-based (neuromorphic) cameras depart from frame-based sensing by reporting asynchronous per-pixel brightness changes. This produces sparse, low-latency data streams with extreme temporal resolution but demands new processing paradigms.
Claudio Cimarelli +3 more
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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
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