Accuracy and Speed Improvement of Event Camera Motion Estimation Using a Bird’s-Eye View Transformation [PDF]
Sensors, 2022 Event cameras are bio-inspired sensors that have a high dynamic range and temporal resolution. This property enables motion estimation from textures with repeating patterns, which is difficult to achieve with RGB cameras.
Takehiro Ozawa +2 more
doaj +2 more sources
A method of motion estimation of segmental ventricular wall with tracking of ultrasonic echocardiogram [PDF]
BMC Medical Imaging, 2023 Background Ultrasonic echocardiography is commonly used for monitoring myocardial dysfunction. However, it has limitations such as poor quality of echocardiography images and subjective judgment of doctors.
Shanna Liu +10 more
doaj +2 more sources
Optimization in Visual Motion Estimation. [PDF]
Annu Rev Vis SciSighted animals use visual signals to discern directional motion in their environment. Motion is not directly detected by visual neurons, and it must instead be computed from light signals that vary over space and time. This makes visual motion estimation a near universal neural computation, and decades of research have revealed much about the ...
Clark DA, Fitzgerald JE.
europepmc +3 more sources
Simplex minimisation for multiple-reference motion estimation [PDF]
, 1999 This paper investigates the properties of the multiple-reference block motion field. Guided by the results of this investigation, the paper proposes three fast multiple-reference block matching motion estimation algorithms.
Al-Mualla, MES +2 more
core +4 more sources
Asymmetric Bilateral Motion Estimation for Video Frame Interpolation [PDF]
IEEE International Conference on Computer Vision, 2021 We propose a novel video frame interpolation algorithm based on asymmetric bilateral motion estimation (ABME), which synthesizes an intermediate frame between two input frames.
Jun-ho Park, Chulwoo Lee, Chang-Su Kim
semanticscholar +1 more source
Self-Supervised Monocular Depth and Ego-Motion Estimation in Endoscopy: Appearance Flow to the Rescue [PDF]
Medical Image Anal., 2021 Recently, self-supervised learning technology has been applied to calculate depth and ego-motion from monocular videos, achieving remarkable performance in autonomous driving scenarios.
Shuwei Shao +6 more
semanticscholar +1 more source
GOHOME: Graph-Oriented Heatmap Output for future Motion Estimation [PDF]
IEEE International Conference on Robotics and Automation, 2021 In this paper, we propose GOHOME, a method leveraging graph representations of the High Definition Map and sparse projections to generate a heatmap output representing the future position probability distribution for a given agent in a traffic scene ...
Thomas Gilles +4 more
semanticscholar +1 more source
HOME: Heatmap Output for future Motion Estimation [PDF]
International Conference on Intelligent Transportation Systems, 2021 In this paper, we propose HOME, a framework tackling the motion forecasting problem with an image output representing the probability distribution of the agent's future location.
Thomas Gilles +4 more
semanticscholar +1 more source
Recurrent Video Deblurring with Blur-Invariant Motion Estimation and Pixel Volumes [PDF]
ACM Transactions on Graphics, 2021 For the success of video deblurring, it is essential to utilize information from neighboring frames. Most state-of-the-art video deblurring methods adopt motion compensation between video frames to aggregate information from multiple frames that can help
Hyeongseok Son +4 more
semanticscholar +1 more source
Physics-based Human Motion Estimation and Synthesis from Videos [PDF]
IEEE International Conference on Computer Vision, 2021 Human motion synthesis is an important problem with applications in graphics, gaming and simulation environments for robotics. Existing methods require accurate motion capture data for training, which is costly to obtain.
Kevin Xie +5 more
semanticscholar +1 more source