Amanote Research

Amanote Research

    RegisterSign In

Object Recognition Using Composed Receptive Field Histograms of Higher Dimensionality

doi 10.1109/icpr.2004.1333965
Full Text
Open PDF
Abstract

Available in full text

Date

January 1, 2004

Authors
O. LindeT. Lindeberg
Publisher

IEEE


Related search

Signature of Position Angles Histograms for 3D Object Recognition

2017English

Object Class Recognition and Localization Using Sparse Features With Limited Receptive Fields

International Journal of Computer Vision
Computer VisionPattern RecognitionArtificial IntelligenceSoftware
2008English

Egocentric Activity Recognition Using Histograms of Oriented Pairwise Relations

2014English

Object Recognition Using Still Image

IJARCCE
2016English

Handwritten Digit Recognition Using Different Dimensionality Reduction Techniques

International Journal of Recent Technology and Engineering
EngineeringManagement of TechnologyInnovation
2019English

A New Hough Transform on Face Detection and Recognition Using Integrated Histograms

Journal of Applied Sciences
2015English

Human Action Recognition Using Dimensionality Reduction and Support Vector Machine

CEUR Workshop Proceedings
Computer Science
2019English

Image Representation for Generic Object Recognition Using Higher-Order Local Autocorrelation Features on Posterior Probability Images

Pattern Recognition
Signal ProcessingComputer VisionPattern RecognitionArtificial IntelligenceSoftware
2012English

Semi-Supervised Object Recognition Using Structure Kernel

2012English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy