title: Fast computation of rotation-invariant image features by an approximate radial gradient transform.
abstract: We present the radial gradient transform (RGT) and a fast approximation, the approximate RGT (ARGT). We analyze the effects of the approximation on gradient quantization and histogramming. The ARGT is incorporated into the rotation-invariant fast feature (RIFF) algorithm. We demonstrate that, using the ARGT, RIFF extracts features 16× faster than SURF while achieving a similar performance for image matching and retrieval.
authors.affiliation: Microsoft Corporation, Sunnyvale, CA 94089, USA. gatakacs@microsoft.com
authors.forename: Gabriel
authors.initials: G
authors.lastname: Takacs
authors.forename: Vijay
authors.initials: V
authors.lastname: Chandrasekhar
authors.forename: Sam S
authors.initials: SS
authors.lastname: Tsai
authors.forename: David
authors.initials: D
authors.lastname: Chen
authors.forename: Radek
authors.initials: R
authors.lastname: Grzeszczuk
authors.forename: Bernd
authors.initials: B
authors.lastname: Girod
mesh_terms: D000465:Algorithms; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D016247:Information Storage and Retrieval / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013382:Subtraction Technique