Results 61 to 70 of about 6,563,318 (342)

Unsupervised convolutional neural networks for motion estimation [PDF]

open access: yesInternational Conference on Information Photonics, 2016
Traditional methods for motion estimation estimate the motion field F between a pair of images as the one that minimizes a predesigned cost function. In this paper, we propose a direct method and train a Convolutional Neural Network (CNN) that when, at ...
Aria Ahmadi, I. Patras
semanticscholar   +1 more source

Reconstructing enzyme evolution by protein engineering

open access: yesFEBS Letters, EarlyView.
Natural enzyme evolution can be retraced by protein engineering methods such as directed evolution, rational design, and ancestral sequence reconstruction. These approaches reveal how enzymes emerged from ligand‐binding scaffolds, developed varying substrate preferences, formed oligomeric complexes, adapted to environmental changes, and evolved novel ...
Lukas Drexler   +2 more
wiley   +1 more source

Real-Time Optimal States Estimation with Inertial and Delayed Visual Measurements for Unmanned Aerial Vehicles

open access: yesSensors, 2023
Motion estimation is a major issue in applications of Unmanned Aerial Vehicles (UAVs). This paper proposes an entire solution to solve this issue using information from an Inertial Measurement Unit (IMU) and a monocular camera.
Xinxin Sun   +3 more
doaj   +1 more source

Implementation and Validation of a Three-dimensional Cardiac Motion Estimation Network.

open access: yesRadiology: Artificial Intelligence, 2019
Purpose To describe an unsupervised three-dimensional cardiac motion estimation network (CarMEN) for deformable motion estimation from two-dimensional cine MR images. Materials and Methods A function was implemented using CarMEN, a convolutional neural
M. Morales   +5 more
semanticscholar   +1 more source

Adaptive Multi-Pattern Fast Block-Matching Algorithm Based on Motion Classification Techniques [PDF]

open access: yes, 2007
Motion estimation is the most time-consuming subsystem in a video codec. Thus, more efficient methods of motion estimation should be investigated. Real video sequences usually exhibit a wide-range of motion content as well as different degrees of detail,
González Díaz, Iván   +12 more
core   +1 more source

Investigating transcription factor dynamics in health and disease using FRAP

open access: yesFEBS Letters, EarlyView.
FRAP analysis of GFP‐tagged transcription factors reveals how molecular mobility and target engagement change in response to drug treatment. By combining live‐cell imaging, quantitative model fitting, and statistical analysis, this approach uncovers transcription factor dynamics linked to disease mechanisms, providing a powerful framework for ...
Kannan Govindaraj   +3 more
wiley   +1 more source

Optical flow for large motion using gradient technique [PDF]

open access: yesSerbian Journal of Electrical Engineering, 2006
In this paper, we present the gradient-based optical flow method that estimates the two-dimensional velocity of object motion. a multi-resolution smoothing operation proposes in this paper as a pre-processing step for overcoming the difficulty of large ...
Sarker Hossain Mosharrof   +2 more
doaj   +1 more source

A Unifying Contrast Maximization Framework for Event Cameras, with Applications to Motion, Depth, and Optical Flow Estimation [PDF]

open access: yes2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018
We present a unifying framework to solve several computer vision problems with event cameras: motion, depth and optical flow estimation. The main idea of our framework is to find the point trajectories on the image plane that are best aligned with the ...
Guillermo Gallego   +2 more
semanticscholar   +1 more source

Cellular neural networks for motion estimation and obstacle detection [PDF]

open access: yes, 2003
Obstacle detection is an important part of Video Processing because it is indispensable for a collision prevention of autonomously navigating moving objects.
Feiden, Dirk   +3 more
core   +2 more sources

Emerging experimental and computational methods for studying redox‐regulated structural transitions

open access: yesFEBS Letters, EarlyView.
Redox reactions can reshape proteins and alter how they behave in cells, with important consequences for health and disease. This review explores emerging experimental and computational approaches for discovering these redox‐sensitive protein switches, revealing their structural effects, and predicting their behavior, opening new opportunities to ...
Tasneem Rass   +2 more
wiley   +1 more source

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