Results 21 to 30 of about 155,901 (241)
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
More effective image matching with scale invariant feature transform [PDF]
Proceedings of the 23rd Spring Conference on Computer Graphics, 2007 Feature matching is based on finding reliable corresponding points in the images. This requires to solve a twofold problem: detecting repeatable feature points and describing them as distinctive as possible. SIFT (Scale Invariant Feature Transform) has been proven to be the most reliable solution to this problem.
ANCUTI, Cosmin, BEKAERT, Philippe
openaire +3 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
Sasirangan Motifs Classification using Scale- Invariant Feature Transform (SIFT) and Support Vector Machine (SVM) [PDF]
MATEC Web of Conferences, 2019 Sasirangan is one of the traditional cloth from Indonesia. Specifically, it comes from South Borneo. It has many variations of motifs with a different meaning for each pattern.
Alkaff Muhammad +3 more
doaj +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
$n$-SIFT: $n$-Dimensional Scale Invariant Feature Transform [PDF]
IEEE Transactions on Image Processing, 2009 We propose the n-dimensional scale invariant feature transform (n-SIFT) method for extracting and matching salient features from scalar images of arbitrary dimensionality, and compare this method's performance to other related features. The proposed features extend the concepts used for 2-D scalar images in the computer vision SIFT technique for ...
Warren A. Cheung, Ghassan Hamarneh
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Model-independent phenotyping of C. elegans locomotion using scale-invariant feature transform. [PDF]
PLoS ONE, 2015 To uncover the genetic basis of behavioral traits in the model organism C. elegans, a common strategy is to study locomotion defects in mutants. Despite efforts to introduce (semi-)automated phenotyping strategies, current methods overwhelmingly depend ...
Yelena Koren +6 more
doaj +1 more source
Spectral-Spatial Scale Invariant Feature Transform for Hyperspectral Images [PDF]
IEEE Transactions on Image Processing, 2018 Spectral-spatial feature extraction is an important task in hyperspectral image processing. In this paper we propose a novel method to extract distinctive invariant features from hyperspectral images for registration of hyperspectral images with different spectral conditions.
Suhad Lateef Al-khafaji +3 more
openaire +4 more sources
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