Results 41 to 50 of about 107,993 (282)
Suboptimal eye movements for seeing fine details. [PDF]
, 2018 Human eyes are never stable, even during attempts of maintaining gaze on a visual target. Considering transient response characteristics of retinal ganglion cells, a certain amount of motion of the eyes is required to efficiently encode information and ...
Agaoglu, Mehmet N +4 more
core +1 more source
Event-Based Motion Segmentation by Motion Compensation [PDF]
, 2019 In contrast to traditional cameras, whose pixels have a common exposure time, event-based cameras are novel bio-inspired sensors whose pixels work independently and asynchronously output intensity changes (called "events"), with microsecond resolution ...
Drummond, Tom +4 more
core +1 more source
Joint Blind Motion Deblurring and Depth Estimation of Light Field
, 2018 Removing camera motion blur from a single light field is a challenging task since it is highly ill-posed inverse problem. The problem becomes even worse when blur kernel varies spatially due to scene depth variation and high-order camera motion.
A Beck +12 more
core +1 more source
Decoupled Sampling for Graphics Pipelines [PDF]
, 2010 We propose a generalized approach to decoupling shading from visibility sampling in graphics pipelines, which we call decoupled sampling. Decoupled sampling enables stochastic supersampling of motion and defocus blur at reduced shading cost, as well as ...
Chen, Jiawen +4 more
core +3 more sources
From Motion Blur to Motion Flow: A Deep Learning Solution for Removing Heterogeneous Motion Blur [PDF]
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017 Removing pixel-wise heterogeneous motion blur is challenging due to the ill-posed nature of the problem. The predominant solution is to estimate the blur kernel by adding a prior, but the extensive literature on the subject indicates the difficulty in identifying a prior which is suitably informative, and general.
Gong, Dong +7 more
openaire +2 more sources
Plant Image Classification with Nonlinear Motion Deblurring Based on Deep Learning
Mathematics, 2023 Despite the significant number of classification studies conducted using plant images, studies on nonlinear motion blur are limited. In general, motion blur results from movements of the hands of a person holding a camera for capturing plant images, or ...
Ganbayar Batchuluun +3 more
doaj +1 more source
Applied Sciences, 2021 The combination of gesture recognition and aerospace exploration robots can realize the efficient non-contact control of the robots. In the harsh aerospace environment, the captured gesture images are usually blurred and damaged inevitably.
Hongchao Zhuang +3 more
doaj +1 more source
Simultaneous Stereo Video Deblurring and Scene Flow Estimation
, 2017 Videos for outdoor scene often show unpleasant blur effects due to the large relative motion between the camera and the dynamic objects and large depth variations. Existing works typically focus monocular video deblurring.
Dai, Yuchao +3 more
core +1 more source
Intraframe Scene Capturing and Speed Measurement Based on Superimposed Image: New Sensor Concept for Vehicle Speed Measurement [PDF]
, 2016 A vision based vehicle speed measurement method is presented in this paper. The proposed intraframe method calculates speed estimates based on a single frame of a single camera.
Németh, Máté, Zarándy, Ákos
core +1 more source
Towards robust visual odometry by motion blur recovery
Frontiers in Signal ProcessingIntroductionMotion blur, primarily caused by rapid camera movements, significantly challenges the robustness of feature point tracking in visual odometry (VO).MethodsThis paper introduces a robust and efficient approach for motion blur detection and ...
Simin Luan +4 more
doaj +1 more source