BOOK-CHAPTER

Object Recognition and Modeling Using SIFT Features

Alessandro BrunoLuca GrecoMarco La Cascia

Year: 2013 Lecture notes in computer science Pages: 250-261   Publisher: Springer Science+Business Media
Keywords:
Computer science Object (grammar) Artificial intelligence Scale-invariant feature transform Computer vision Cognitive neuroscience of visual object recognition Method 3D single-object recognition Object model Set (abstract data type) Representation (politics) Matching (statistics) Haar-like features Viola–Jones object detection framework Pattern recognition (psychology) Similarity (geometry) Pose Image (mathematics) Object-oriented programming Mathematics Facial recognition system

Metrics

5
Cited By
0.48
FWCI (Field Weighted Citation Impact)
21
Refs
0.50
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Image and Video Retrieval Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Robotics and Sensor-Based Localization
Physical Sciences →  Engineering →  Aerospace Engineering
Image Retrieval and Classification Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

Related Documents

JOURNAL ARTICLE

Object Detection using SIFT features

S. HariprasathGiriRajkumar. S.MMohamed Yahya. AHari Krishna. MKrishna Kumaran. K

Journal:   Zenodo (CERN European Organization for Nuclear Research) Year: 2023
JOURNAL ARTICLE

Object Detection using SIFT features

Hariprasath. SGiriRajkumar. S.MA, Mohamed Yahya.M, Hari Krishna.K, Krishna Kumaran.

Journal:   Zenodo (CERN European Organization for Nuclear Research) Year: 2023
JOURNAL ARTICLE

Object Detection using SIFT features

S. HariprasathGiriRajkumar. S.MMohamed Yahya. AHari Krishna. MKrishna Kumaran. K

Journal:   Zenodo (CERN European Organization for Nuclear Research) Year: 2023
© 2026 ScienceGate Book Chapters — All rights reserved.