Results 31 to 40 of about 167,567 (320)
International Journal of Adaptive Control and Signal Processing, EarlyView., 2023 Summary In this contribution, we propose a detailed study of interpolation‐based data‐driven methods that are of relevance in the model reduction and also in the systems and control communities. The data are given by samples of the transfer function of the underlying (unknown) model, that is, we analyze frequency‐response data.
Quirin Aumann, Ion Victor Gosea
wiley +1 more source
EURASIP Journal on Image and Video Processing, 2008 Scale-invariant feature transform (SIFT) transforms a grayscale image into scale-invariant coordinates of local features that are invariant to image scale, rotation, and changing viewpoints.
Hong Yi +3 more
doaj +2 more sources
FPGA-Based Hardware Design for Scale-Invariant Feature Transform
IEEE Access, 2018 This paper proposes a novel hardware design method of scale-invariant feature transform (SIFT) algorithm for implementation on field-programmable gate array (FPGA).
Shih-An Li +4 more
doaj +1 more source
Improving the matching precision of SIFT [PDF]
, 2014 International audienceMatching precision of scale-invariant feature transform (SIFT) is evaluated and improved in this paper. The aim of the paper is not to invent a new feature detector more invariant than the others.
Monasse, Pascal +2 more
core +3 more sources
Automated identification of Lauraceae by scale-invariant feature transform [PDF]
Journal of Wood Science, 2017 An image dataset of the cross-sectional optical micrographs of the Lauraceae species including 39 species in 11 genera, capturing at least one full annual ring, was investigated by scale-invariant feature transform (SIFT), a computer vision-based feature extraction algorithm. We found an image of 900 × 900-pixel size at a pixel resolution of ca.
Kayoko Kobayashi +4 more
openaire +2 more sources
Scale variant vehicle object recognition by CNN module of multi-pooling-PCA process
Journal of Intelligent and Connected Vehicles, 2023 The moving vehicles present different scales in the image due to the perspective effect of different viewpoint distances. The premise of advanced driver assistance system (ADAS) system for safety surveillance and safe driving is early identification of ...
Yuxiang Guo, Itsuo Kumazawa, Chuyo Kaku
doaj +1 more source
Granular Approach for Recognizing Surgically Altered Face Images Using Keypoint Descriptors and Artificial Neural Network [PDF]
, 2019 This chapter presents a new technique called entropy volume-based scale-invariant feature transform for correct face recognition post cosmetic surgery.
Dhirbasi, Haricharan A. +1 more
core +2 more sources
Advanced Engineering Materials, EarlyView., 2023 A novel method for tracking structural changes in gels using widely accessible microcomputed tomography is presented and validated for various hydro‐, alco‐, and aerogels. The core idea of the method is to track positions of micrometer‐sized tracer particles entrapped in the gel and relate them to the density of the gel network.
Anja Hajnal +3 more
wiley +1 more source
Hausdorff-Distance Enhanced Matching of Scale Invariant Feature Transform Descriptors in Context of Image Querying [PDF]
, 2012 Reliable and effective matching of visual descriptors is a key step for many vision applications, e.g. image retrieval. In this paper, we propose to integrate the Hausdorff distance matching together with our pairing algorithm, in order to obtain a ...
Olszewska, Joanna Isabelle, Wilson, D.
core +1 more source
Zooming image based false matches elimination algorithms for robot navigation
Advances in Mechanical Engineering, 2017 Feature matching is one of the most important steps in the location technology of zooming images. According to the scale-invariant feature transform matching algorithm, several improved false matches elimination algorithms are proposed and compared in ...
Hongwei Gao +4 more
doaj +1 more source