SIFT-aided path-independent digital image correlation accelerated by parallel computing

J Yang, J Huang, Z Jiang, S Dong, L Tang, Y Liu… - Optics and Lasers in …, 2020 - Elsevier
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 …

GPU based parallel optimization for real time panoramic video stitching

C Du, J Yuan, J Dong, L Li, M Chen, T Li - Pattern Recognition Letters, 2020 - Elsevier
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 …

Efficient parallel optimizations of a high-performance SIFT on GPUs

Z Li, H Jia, Y Zhang, S Liu, S Li, X Wang… - Journal of Parallel and …, 2019 - Elsevier
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 …

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 …

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 …

Implementation of Scale Invariant Feature Transform detector on FPGA for low‐power wearable devices for prostheses control

A Fejér, Z Nagy, J Benois‐Pineau… - … Journal of Circuit …, 2021 - Wiley Online Library
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 …

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 …

[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 …

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 …

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 …