mlsanityData to 14 Oct 2026

Image Matching Using SIFT, SURF, BRIEF and ORB: Performance Comparison for Distorted Images

arXiv 1710.02726 ↗First posted 7 Oct 2017cs.CVcited by 30

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Abstract (arXiv)

Fast and robust image matching is a very important task with various applications in computer vision and robotics. In this paper, we compare the performance of three different image matching techniques, i.e., SIFT, SURF, and ORB, against different kinds of transformations and deformations such as scaling, rotation, noise, fish eye distortion, and shearing. For this purpose, we manually apply different types of transformations on original images and compute the matching evaluation parameters such as the number of key points in images, the matching rate, and the execution time required for each algorithm and we will show that which algorithm is the best more robust against each kind of distortion. Index Terms-Image matching, scale invariant feature transform (SIFT), speed up robust feature (SURF), robust independent elementary features (BRIEF), oriented FAST, rotated BRIEF (ORB).

Key facts. Cited by 30 papers in the map (data through 14 Oct 2026). First posted on arXiv 7 Oct 2017.

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Citing papers per year: 2021: 4; 2022: 9; 2023: 5; 2024: 5; 2025: 6; 2026: 1.

30 papers.

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  1. 2022CitySim: A Drone-Based Vehicle Trajectory Dataset for Safety Oriented Research and Digital Twinscited by 43
  2. 2022Visual SLAM: What are the Current Trends and What to Expect?cited by 10
  3. 2023WiSARD: A Labeled Visual and Thermal Image Dataset for Wilderness Search and Rescuecited by 9
  4. 2023SAME++: A Self-supervised Anatomical eMbeddings Enhanced medical image registration framework using stable sampling and regularized transformationcited by 9
  5. 2022Composite Score for Anomaly Detection in Imbalanced Real-World Industrial Datasetcited by 7
  6. 2025SIREN: Semantic, Initialization-Free Registration of Multi-Robot Gaussian Splatting Mapscited by 7
  7. 2022Transformer-Guided Convolutional Neural Network for Cross-View Geolocalizationcited by 6
  8. 2021Object Detection and Pose Estimation from RGB and Depth Data for Real-time, Adaptive Robotic Graspingcited by 5
  9. 2022Hazard Detection And Avoidance For The Nova-C Landercited by 4
  10. 2023A Hierarchical Descriptor Framework for On-the-Fly Anatomical Location Matching between Longitudinal Studiescited by 4
  11. 2024TeleOR: Real-time Telemedicine System for Full-Scene Operating Roomcited by 2
  12. 2025ViT-VS: On the Applicability of Pretrained Vision Transformer Features for Generalizable Visual Servoingcited by 2
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  1. 2021Video Analytics on IoT devicescited by 1
  2. 2021FFR_FD: Effective and Fast Detection of DeepFakes Based on Feature Point Defectscited by 1
  3. 2023Feature-based Image Matching for Identifying Individual K=ak=acited by 1
  4. 2024A Neurosymbolic Approach to Adaptive Feature Extraction in SLAMcited by 1
  5. 2024Investigating the diversity and stylization of contemporary user generated visual arts in the complexity entropy planecited by 1
  6. 2025AI-Driven Multi-Stage Computer Vision System for Defect Detection in Laser-Engraved Industrial Nameplatescited by 1
  7. 2021Feature Identification and Matching for Hand Hygiene Posecited by 0
  8. 2022Network Comparison Study of Deep Activation Feature Discriminability with Novel Objectscited by 0
  9. 2022Detection and Initial Assessment of Lunar Landing Sites Using Neural Networkscited by 0
  10. 2022Real Time Incremental Image Mosaicking Without Use of Any Camera Parametercited by 0
  11. 2022Implementation of a Blind navigation method in outdoors/indoors areascited by 0
  12. 2023Deep Learning-Based UAV Aerial Triangulation without Image Control Pointscited by 0
  13. 2024Multi-Camera Multi-Person Association using Transformer-Based Dense Pixel Correspondence Estimation and Detection-Based Maskingcited by 0
  14. 2024Design and Identification of Keypoint Patches in Unstructured Environmentscited by 0
  15. 2025Continuous Marine Tracking via Autonomous UAV Handoffcited by 0
  16. 2025BRIDGE -- Building Reinforcement-Learning Depth-to-Image Data Generation Engine for Monocular Depth Estimationcited by 0
  17. 2025DeepDetect: Learning All-in-One Dense Keypointscited by 0
  18. 2026Evaluation of Image Matching for Art Skills Assessmentcited by 0