Image Feature Retrieval and Recognition Techniques (Q167452): Difference between revisions

From geokb
(‎Changed label, description and/or aliases in en, and other parts: removed Deep Learning from aliases; added Q169133 to addresses subject)
(‎Changed label, description and/or aliases in en, and other parts: modified description with assistance from Llama 3.1)
description / endescription / en
This cluster of papers focuses on the development and evaluation of techniques for extracting, matching, and utilizing local image features for tasks such as object recognition, image retrieval, and scene classification
"Analyzing images to identify objects, scenes, and features."

Revision as of 13:43, 30 August 2024

"Analyzing images to identify objects, scenes, and features."
  • Local Descriptors
  • Feature Matching
  • Object Recognition
  • Image Retrieval
  • Binary Codes
  • Scene Classification
  • Interest Point Detectors
  • Bag-of-Features
  • Cross-Modal Retrieval
Language Label Description Also known as
English
Image Feature Retrieval and Recognition Techniques
"Analyzing images to identify objects, scenes, and features."
  • Local Descriptors
  • Feature Matching
  • Object Recognition
  • Image Retrieval
  • Binary Codes
  • Scene Classification
  • Interest Point Detectors
  • Bag-of-Features
  • Cross-Modal Retrieval

Statements