Results 1 to 10 of about 4,160,080 (316)

Accuracy and Speed Improvement of Event Camera Motion Estimation Using a Bird’s-Eye View Transformation [PDF]

open access: yesSensors, 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]

open access: yesBMC 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]

open access: yesAnnu Rev Vis Sci
Sighted 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

Asymmetric Bilateral Motion Estimation for Video Frame Interpolation [PDF]

open access: yesIEEE 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

GOHOME: Graph-Oriented Heatmap Output for future Motion Estimation [PDF]

open access: yesIEEE 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]

open access: yesInternational 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]

open access: yesACM 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]

open access: yesIEEE 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

4DComplete: Non-Rigid Motion Estimation Beyond the Observable Surface [PDF]

open access: yesIEEE International Conference on Computer Vision, 2021
Tracking non-rigidly deforming scenes using range sensors has numerous applications including computer vision, AR/VR, and robotics. However, due to occlusions and physical limitations of range sensors, existing methods only handle the visible surface ...
Yang Li   +4 more
semanticscholar   +1 more source

Motion Estimation and Compensation in Automotive MIMO SAR [PDF]

open access: yesIEEE transactions on intelligent transportation systems (Print), 2022
With the advent of self-driving vehicles, autonomous driving systems will have to rely on a vast number of heterogeneous sensors to perform dynamic perception of the surrounding environment.
M. Manzoni   +10 more
semanticscholar   +1 more source

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