Pairwise Rotation Invariant Co-Occurrence Local Binary Pattern

Volume: 36, Issue: 11, Pages: 2199 - 2213
Published: Apr 11, 2014
Abstract
Designing effective features is a fundamental problem in computer vision. However, it is usually difficult to achieve a great tradeoff between discriminative power and robustness. Previous works shown that spatial co-occurrence can boost the discriminative power of features. However the current existing co-occurrence features are taking few considerations to the robustness and hence suffering from sensitivity to geometric and photometric...
Paper Details
Title
Pairwise Rotation Invariant Co-Occurrence Local Binary Pattern
Published Date
Apr 11, 2014
Volume
36
Issue
11
Pages
2199 - 2213
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.