Image Identification Using SIFT Algorithm: Performance Analysis against Different Image Deformations
Image identification is one of the most challenging tasks in different areas of computer vision. Scale-invariant feature transform is an algorithm to detect and describe local features in images to further use them as an image matching criteria. In this paper, the performance of the SIFT matching algorithm against various image distortions such as rotation, scaling, fisheye and motion distortion are evaluated and false and true positive rates for a large number of image pairs are calculated and presented. We also evaluate the distribution of the matched keypoint orientation difference for each image deformation.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
Face Identification from Manipulated Facial Images using SIFT
Editing on digital images is ubiquitous. Identification of deliberately modified facial images is a new challenge for face identification system. In this paper, we address the problem of identification of a face or perso…
Face IdentificationFace Identification by SIFT-based Complete Graph Topology
This paper presents a new face identification system based on Graph Matching Technique on SIFT features extracted from face images. Although SIFT features have been successfully used for general object detection and reco…
Face IdentificationFace RecognitionGraph Matchingobject-detection+2Artwork painting identification method for panorama based on adaptive rectilinear projection and optimized ASIFT
In the paper, the authors present an artwork painting identification method for panorama based on adaptive rectilinear projection and optimized ASIFT (Affine Scale-Invariant Feature Transform). Firstly, the authors use t…
Image EnhancementGPU-accelerated SIFT-aided source identification of stabilized videos
Video stabilization is an in-camera processing commonly applied by modern acquisition devices. While significantly improving the visual quality of the resulting videos, it has been shown that such operation typically hin…
GPUVideo StabilizationGPU optimization of the 3D Scale-invariant Feature Transform Algorithm and a Novel BRIEF-inspired 3D Fast Descriptor
This work details a highly efficient implementation of the 3D scale-invariant feature transform (SIFT) algorithm, for the purpose of machine learning from large sets of volumetric medical image data. The primary operatio…
Computational EfficiencyCPUGPUKeypoint Detection