International Journal of Advanced Robotic Systems | |
Facial/License Plate Detection Using a Two-Level Cascade Classifier and a Single Convolutional Feature Map: | |
Ying-NongChen1  | |
关键词: Face Detection; Coarse-to-fine Strategy; Convolution/Subsampling Feature Map; Feature Ranking; | |
DOI : 10.5772/61477 | |
学科分类:自动化工程 | |
来源: InTech | |
【 摘 要 】
In this paper, an object detector is proposed based on a convolution/subsampling feature map and a two-level cascade classifier. First, a convolution/subsampling operation alleviates illumination, rotation and noise variances. Then, two classifiers are concatenated to check a large number of windows using a coarse-to-fine strategy. Since the sub-sampled feature map with enhanced pixels was fed into the coarse-level classifier, the checked windows were drastically reduced to a quarter of the original image. A few remaining windows showing detailed data were further checked using a fine-level classifier.
【 授权许可】
CC BY
【 预 览 】
Files | Size | Format | View |
---|---|---|---|
RO201904031271121ZK.pdf | 5832KB | download |