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GLOH

GLOH (Gradient Location and Orientation Histogram) is a robust image descriptor that can be used in computer vision tasks. It is a SIFT-like… 
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Related topics

Related topics

4 relations
Computer visionScale-invariant feature transformSpeeded up robust features

Broader (1)

Feature detection (computer vision)

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
2DIGH: a polar invariant local image descriptor based on joint histogram
One of the key challenges of current image matching techniques is how to build a robust local descriptor which is invariant to… 
2017
2017
An Implementation of Effective Logo Matching and Detection using Multiple Descriptors to Enhance the Resolution
In current trends the logos are playing a vital role in industrial and all commercial applications. Fundamentally the logo is… 
2014
2014
Multi-Level Image Annotation Using Bayes Classifier and Fuzzy Knowledge Representation Scheme
Automatic image annotation (AIA) is the process by which metadata, in form of keywords or text descriptions are automatically… 
2014
2014
Face Recognition Based GLOH Descriptor and Integration of Local Features
In order to reduce the computational complexity of high-dimensional feature descriptor and improve the accuracy of recognition… 
2013
2013
A machine learning based intelligent vision system for autonomous object detection and recognition
Existing object recognition techniques often rely on human labeled data conducting to severe limitations to design a fully… 
2012
2012
PQ-WGLOH: A bit-rate scalable local feature descriptor
In this paper, we propose a compact yet discriminative local descriptor which tackles the wireless query transmission latency in… 
2011
2011
Performance evaluation of feature-based image alignment techniques for inter-sequence error concealment
Mobile reception of digital TV signals is typically error-prone. In multi-broadcast scenarios, inter-sequence error concealment… 
Review
2010
Review
2010
Feature Extraction and Representation for Face Recognition
Over the past two decades several attempts have been made to address the problem of face recognition and a voluminous literature… 
2009
2009
Comparative analysis of invariant schemes for logo classification
Logo or Trademark is of high importance because it carries the goodwill of the company and the product. Products are mostly… 
2008
2008
Salient region detection and feature extraction in 3D visual data
Saliency detection and local feature extraction for 2D images have received extensive attention recently. In this paper, we… 
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