Title :
Fast Scale-Space Feature Representations by Generalized Integral Images
Author :
Derpanis, Konstantinos G. ; Leung, Erich T H ; Sizintsev, Mikhail
Author_Institution :
York Univ., Toronto
fDate :
Sept. 16 2007-Oct. 19 2007
Abstract :
In this paper, we place the integral image-based approach for multi-scale feature construction, popularized by Viola and Jones, into a common framework of understanding. The integral image within this framework represents space variant image filtering with the zero-order B-spline. Given this framework, we propose efficiently computable higher-order B-spline image features based on generalized integral images that have the potential to be more accurate, yet efficient as compared to previous integral image-based efforts.
Keywords :
filtering theory; image representation; splines (mathematics); generalized integral images; higher-order B-spline image features; multiscale-space feature representation; space variant image filtering; Computer science; Computer vision; Convolution; Detectors; Filtering; Gaussian processes; Kernel; Nonlinear filters; Pulse generation; Spline; B-spline; feature descriptor; integral image; interest point; scale-space;
Conference_Titel :
Image Processing, 2007. ICIP 2007. IEEE International Conference on
Conference_Location :
San Antonio, TX
Print_ISBN :
978-1-4244-1437-6
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2007.4380069