[1]唐彩虹.一种结合Seam Carving和人脸检测的人像缩放算法[J].计算机技术与发展,2012,(06):111-113.
　TANG Cai-hong.People Image Resizing Algorithm By Combining Seam Carving and Face Detection[J].,2012,(06):111-113.
点击复制

一种结合Seam Carving和人脸检测的人像缩放算法()
分享到：

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2012年06期
页码:
111-113
栏目:
智能、算法、系统工程
出版日期:
1900-01-01

文章信息/Info

Title:
People Image Resizing Algorithm By Combining Seam Carving and Face Detection
文章编号:
1673-629X（2012）06-0111-03
作者:
唐彩虹
广东轻工职业技术学院计算机工程系
Author(s):
TANG Cai-hong
Department of Computer Engineering, Guangdong Industry Technical College
关键词:
细缝提取; 人脸检测; 图像缩放; 梯度图; 人脸特征
Keywords:
Seam Carving;  face detection ; image resizing;  gradient image;  facial features
分类号:
TP391.41
文献标志码:
A
摘要:
人脸是人物图像中的重要特征区域。针对应用Seam Carving算法缩放人物图像后造成人脸畸变的现象,提出了一种结合人脸检测的人物图像缩放算法。首先识别图像中的人脸区域,其次在使用Seam Carving算法缩放图像的过程中提高梯度图中人脸区域的梯度值,防止低能量线穿越人脸区域,进而达到在缩放图像的同时保持人脸特征的目的。实验结果表明,该算法实现非等比缩放人物图像的同时有效保护了人脸区域,提升了缩放后的图像质量
Abstract:
Face is an important feature of people image. Seam Carving can create serious artifacts upon face area during people images reduction. An algorithm for people image reduction was presented in this paper. This algorithm overcomes this shortcoming by combining Seam Carving and face detection. First, face region is identified, followed by increasing the gradient of the human face region in gradient image during Seam Carving execution to prevent face area from passing through of seams, and thus to retain the facial features while reducing the image. The experimental results show that the proposed approach effectively protects the face region and thus enhances the resized image quality while implementing non-proportional image reduction

相似文献/References:

[1]李宏伟 陶亮.复杂背景不同光照条件下彩色图像中人脸检测[J].计算机技术与发展,2009,(02):52.
　LI Hong-wei,TAO Liang.Face Detection in Complicated Backgrounds and Different Illumination Conditions of Color Images[J].,2009,(06):52.
[2]俞扬信 严云洋.视频序列中的人脸检测与定位算法研究[J].计算机技术与发展,2009,(02):109.
　YU Yang-xin,YAN Yun-yang.Algorithm Study of Face Detection and Location in Video Sequence[J].,2009,(06):109.
[3]金燕 陶亮.基于人眼定位的人脸检测与归一化算法[J].计算机技术与发展,2009,(04):95.
　JIN Yan,TAO Liang.Face Detection and Normalization Based on Localization of Human Eyes[J].,2009,(06):95.
[4]佘九华 王敬东 李鹏.基于Camshift的人脸跟踪算法[J].计算机技术与发展,2008,(09):12.
　SHE Jiu-hua,WANG Jing-dong,LI Peng.Face Tracking Algorithm Based on Camshift[J].,2008,(06):12.
[5]李启娟 李金屏.基于轮廓信息的人脸检测[J].计算机技术与发展,2008,(09):108.
　LI Qi-juan,LI Jin-ping.Face Detection Based on Contour Information[J].,2008,(06):108.
[6]陈伟琦 梁一川 易强 秦文虎.基于肤色和Adaboost算法的人脸检测研究[J].计算机技术与发展,2008,(12):44.
　CHEN Wei-qi,LIANG Yi-chuan,YI Qiang,et al.Face Detection Based on Skin Color and Adaboost Arithmetic[J].,2008,(06):44.
[7]贾灵芝 李岚 钱坤喜.基于自适应光线补偿的人脸检测算法[J].计算机技术与发展,2008,(12):120.
　JIA Ling-zhi,LI Lan,QIAN Kun-xi.Face Detection Algorithm Based on Self- adaptive Light Compensation[J].,2008,(06):120.
[8]袁芬萍 季桂树.基于SVM的三阶段人脸检测方法的研究与应用[J].计算机技术与发展,2007,(09):133.
　YUAN Fen-ping,JI Gui-shu.Research and Application about Three- Stage Face Detection Method Based on SVM[J].,2007,(06):133.
[9]王晶 杨煜.基于边缘方向直方图的Adaboost人脸检测[J].计算机技术与发展,2007,(12):5.
　WANG Jing,YANG Yu.Adaboost for Face Detection Based on Edge Orientation Histograms[J].,2007,(06):5.
[10]邵平 杨路明 曾耀荣.计算旋转Harr型特征的积分图像算法改进[J].计算机技术与发展,2006,(11):146.
　SHAO Ping,YANG. Lu-ming,ZENG Yao-rong.An Improved Algorithm of Integral Image for Computing Rotated Harr- Like Features[J].,2006,(06):146.

备注/Memo

备注/Memo:
广东省自然科学基金资助项目（9451030007003340）唐彩虹（1980-），女，讲师，硕士，主要研究方向为数字图像处理
更新日期/Last Update: 1900-01-01