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SIFT-aided path-independent digital image correlation accelerated by parallel computing
Current iterative digital image correlation (DIC) algorithms can efficiently converge at the
deformation vector with high accuracy when they are fed with reliable initial guess. Thus, the …
deformation vector with high accuracy when they are fed with reliable initial guess. Thus, the …
GPU based parallel optimization for real time panoramic video stitching
Panoramic video is a sort of video recorded at the same point of view to record the full
scene. With the development of video surveillance and the requirement for 3D converged …
scene. With the development of video surveillance and the requirement for 3D converged …
Efficient parallel optimizations of a high-performance SIFT on GPUs
Stable local image feature detection is a fundamental problem in computer vision and is
critical for obtaining the corresponding interest points among images. As a popular and …
critical for obtaining the corresponding interest points among images. As a popular and …
A high-speed feature matching method of high-resolution aerial images
Z Peng, J Wu, Y Zhang, X Lin - Journal of Real-Time Image Processing, 2021 - Springer
This paper presents a novel corner detection and scale estimation algorithm for image
feature description and matching. Inspired by Adaboost's weak classifier, a series of sub …
feature description and matching. Inspired by Adaboost's weak classifier, a series of sub …
GPU-based parallel optimization for real-time scale-invariant feature transform in binocular visual registration
J Li, Y Pan - Personal and Ubiquitous Computing, 2019 - Springer
Scale-invariant feature transform (SIFT) is one of the widely used interest point features. It
has been successfully applied in various computer vision algorithms like object detection …
has been successfully applied in various computer vision algorithms like object detection …
Implementation of Scale Invariant Feature Transform detector on FPGA for low‐power wearable devices for prostheses control
In this paper we describe an FPGA implementation of the Scale Invariant Feature Transform
(SIFT) algorithm. The FPGA is required as its a lightweight device which makes it ideal for …
(SIFT) algorithm. The FPGA is required as its a lightweight device which makes it ideal for …
トリラテラルフィルタを用いた SIFT の GPU による高速化
澤田裕貴 - 2023 - mie-u.repo.nii.ac.jp
そこで本研究では, トリラテラルフィルタを用いた SIFT アルゴリズムを GPU
上に実装することで高速化する手法を提案する. 提案手法では, トリラテラルフィルタの内部処理を …
上に実装することで高速化する手法を提案する. 提案手法では, トリラテラルフィルタの内部処理を …
[PDF][PDF] Recognition of objects to grasp and Neuro-Prosthesis control
A Fejér - 2022 - disszertacio.ppke.hu
The goal of the present PhD research is to provide assistance to upper-limb amputees
wearing robotic prosthetic arms. Classical myoelectric control of neuro-prostheses is limited …
wearing robotic prosthetic arms. Classical myoelectric control of neuro-prostheses is limited …
Fast Scale-Invariant Feature Transform on GPU
JCC Barreiros - 2020 - estudogeral.uc.pt
Feature extraction of high-resolution images is a challenging procedure in low-power signal
processing applications. This thesis describes how to optimize and efficiently parallelize the …
processing applications. This thesis describes how to optimize and efficiently parallelize the …
Fast Scale-Invariant Feature Transform on GPU
JC da Costa Barreiros - 2020 - search.proquest.com
Feature extraction of high-resolution images is a challenging procedure in both high and low-
power signal processing applications. This thesis describes how to optimize and efficiently …
power signal processing applications. This thesis describes how to optimize and efficiently …