Title :
Memory-Efficient Computation of High-Dimensional Integral Images
Author :
Inoue, Ken ; Hara, Kentaro ; Urahama, Kiichi
Author_Institution :
Dept. of Commun. Design Sci., Kyushu Univ., Fukuoka, Japan
Abstract :
We propose a memory-efficient method for computing high-dimensional integral images. The proposed method generates exactly the same integral images as that generated by the conventional method, while using less memory. Experimental results show the effectiveness of the proposed method.
Keywords :
image processing; high-dimensional integral images; memory-efficient computation; Arrays; Histograms; Indexes; Memory management; Pattern recognition; Tensile stress; Vectors; high-dimensional array; integral image; memory-efficient computation;
Conference_Titel :
Pattern Recognition (ACPR), 2013 2nd IAPR Asian Conference on
Conference_Location :
Naha
DOI :
10.1109/ACPR.2013.41
