Event-based optical flow via transforming into motion-dependent view
Event cameras respond to temporal dynamics, helping to resolve ambiguities in spatio-
temporal changes for optical flow estimation. However, the unique spatio-temporal event …
temporal changes for optical flow estimation. However, the unique spatio-temporal event …
SEVD: Synthetic Event-based Vision Dataset for Ego and Fixed Traffic Perception
MR Aliminati, B Chakravarthi, AA Verma… - arXiv preprint arXiv …, 2024 - arxiv.org
Recently, event-based vision sensors have gained attention for autonomous driving
applications, as conventional RGB cameras face limitations in handling challenging …
applications, as conventional RGB cameras face limitations in handling challenging …
An Event-based motion scene feature extraction framework
Integral cameras cause motion blur during relative object displacement, leading to degraded
image aesthetics and reduced performance of image-based algorithms. Event cameras …
image aesthetics and reduced performance of image-based algorithms. Event cameras …
MREIFlow: Unsupervised dense and time-continuous optical flow estimation from image and event data
J Hu, C Guo, Y Luo, Z Mao - Information Fusion, 2025 - Elsevier
Objectives: We focus on exploring an unsupervised learning-based model which can take
advantage of a single image and events to estimate dense and time-continuous optical flow …
advantage of a single image and events to estimate dense and time-continuous optical flow …
PixRO: Pixel-Distributed Rotational Odometry with Gaussian Belief Propagation
Visual sensors are not only becoming better at capturing high-quality images but also they
have steadily increased their capabilities in processing data on their own on-chip. Yet the …
have steadily increased their capabilities in processing data on their own on-chip. Yet the …
Event-Based Tracking Any Point with Motion-Augmented Temporal Consistency
Tracking Any Point (TAP) plays a crucial role in motion analysis. Video-based approaches
rely on iterative local matching for tracking, but they assume linear motion during the blind …
rely on iterative local matching for tracking, but they assume linear motion during the blind …
Live Demonstration: Tangentially Elongated Gaussian Belief Propagation for Event-based Incremental Optical Flow Estimation
Y Sekikawa, J Nagata - … of the IEEE/CVF Conference on …, 2023 - openaccess.thecvf.com
Optical flow estimation is a fundamental functionality in computer vision. An event-based
camera, which asynchronously detects sparse intensity changes, is an ideal device for …
camera, which asynchronously detects sparse intensity changes, is an ideal device for …