Results 71 to 80 of about 1,264,081 (186)

Optical flow versus retinal flow as sources of information for flight guidance [PDF]

open access: yes
The appropriate description is considered of visual information for flight guidance, optical flow vs. retinal flow. Most descriptions in the psychological literature are based on the optical flow.
Cutting, James E.
core   +1 more source

Im2Flow: Motion Hallucination from Static Images for Action Recognition

open access: yes, 2018
Existing methods to recognize actions in static images take the images at their face value, learning the appearances---objects, scenes, and body poses---that distinguish each action class.
Gao, Ruohan, Grauman, Kristen, Xiong, Bo
core   +1 more source

Estimating Sensor Motion from Wide-Field Optical Flow on a Log-Dipolar Sensor [PDF]

open access: yes, 2004
Log-polar image architectures, motivated by the structure of the human visual field, have long been investigated in computer vision for use in estimating motion parameters from an optical flow vector field. Practical problems with this approach have been:
Polimeni, Jonathan   +2 more
core   +1 more source

Self-Supervised Pre-Training for Optical Flow Estimation via Contrastive Learning

open access: yesIEEE Access
To address the issues of dataset dependency and correlation volume redundancy in optical flow estimation, contrastive learning is introduced to build a self supervised optical flow framework.
Feng An, Wenyin Tao
doaj   +1 more source

Drone SLAM using TDOA-RSS signal with applied EKF on PF data [PDF]

open access: yesFME Transactions, 2019
This paper describes the integration of Particle filter data earlier recorded in simulation and tested in real-time scenario. Those data are parsed from beacon listener using TDOA-RSS inverse method.
Šoštarić Damir, Mester Gyula
doaj  

Optical Flow Refinement using Reliable Flow Propagation

open access: yesProceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 2017
This paper shows how to improve optical flow estimation by considering a neighborhood consensus strategy along with a reliable flow propagation method. Propagation takes advantages of reliability measures that are available from local low level image features.
Mai, Tan Khoa   +2 more
openaire   +2 more sources

Influence of phosphorus doping on hydrogen content and optical losses in PECVD silicon oxynitride [PDF]

open access: yes, 2005
PECVD Phosphorus-doped silicon oxynitride layers (n=1.5) were deposited from N2O, 2%SiH4/N2, NH3 and 5%PH3/Ar gaseous mixtures. Chemical bonds were determined by Fourier transform infrared spectroscopy. N–H bond concentration of the layers decreased from
Driessen, A.   +3 more
core   +1 more source

Horn-Schunck Optical Flow with a Multi-Scale Strategy

open access: yesImage Processing On Line, 2013
The seminal work of Horn and Schunck is the first variational method for optical flow estimation. It introduced a novel framework where the optical flow is computed as the solution of a minimization problem.
Enric Meinhardt-Llopis   +2 more
doaj  

Occlusion-Aware Unsupervised Learning of Monocular Depth, Optical Flow and Camera Pose with Geometric Constraints

open access: yesFuture Internet, 2018
We present an occlusion-aware unsupervised neural network for jointly learning three low-level vision tasks from monocular videos: depth, optical flow, and camera motion.
Qianru Teng, Yimin Chen, Chen Huang
doaj   +1 more source

Word-Level Sign Language Recognition With Multi-Stream Neural Networks Focusing on Local Regions and Skeletal Information

open access: yesIEEE Access
Word-level sign language recognition (WSLR) has attracted attention because it is expected to overcome the communication barrier between people with speech impairment and those who can hear.
Mizuki Maruyama   +5 more
doaj   +1 more source

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