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| 1 | 3D建模的多姿态人脸合成方法显示文摘设计了一种基于3D建模的人脸多姿态合成方法。首先计算输入图像的三维模型与二维图像间的映射关系;其次,利用该映射关系矫正输入的人脸图像,并生成初步的人脸图像正面化结果;最后,为了完整地保留原面部输入信息,对初步结果视图上的不可见区域进行评估,并根据其对应的可见特征,利用均值坐标(mean-value coordinates,MVC)图像编辑方法对不可见区域进行填充。实验结果表明,所设计方法的矫正准确率可达70%以上,相比于传统方法,输出结果更具鲁棒性。 | 杨玮玥 张倩 王斌 姜悦卉 黄继风 严涛 | 2018 | 中国科技论文2018，13，14： | 6 |
| 2 | 露天矿点云数据中台阶线提取显示文摘台阶线信息对于露天开采具有重要价值,现有获取台阶线的方法工作量大、效率低、精度差,降低了矿山的生产效率和验收精度.因此,本文基于序列无人机影像生成的露天矿密集点云数据,研究并提出了一种自动提取露天矿台阶线的方法.该方法利用渐进形态学滤波算法对点云进行预处理,提出一种顾及邻域几何属性的三维边缘检测与曲率指数加权方法提取出台阶线特征点,并使用移动最小二乘法精确拟合出台阶线.实验结果表明该算法可以自动、高效、精确地提取出露天矿台阶线,生成露天开采现状图,对于露天矿生产和安全具有重要的应用价值. | 王植 安世缘 邹俊 张紫瑞 | 2021 | 东北大学学报(自然科学版)2021，42，9： | 5 |
| 3 | 基于局部统计几何特征的人脸性别分类方法显示文摘为解决自动人脸性别分类问题,提出一种基于局部统计几何特征的性别分类方法。融合人脸图像特征点定位信息与人脸三维数据的几何信息,建立具有统计意义的局部统计几何特征,可以被认为是基于多模态人脸信息的方法。该方法具有标准的表达形式,方便学习算法建立分类器;融合几何信息,对图像中的噪声、光照和人脸上的化妆等具有一定的鲁棒性;考虑三维网格数据中面片数量不同带来的影响,对网格化精度具有一定鲁棒性。为验证其有效性,基于三维人脸公开数据库(FRGC2.0和BosphorusDB)进行相关分类实验,实验结果表明,该方法能够得到比较精确的分类结果。 | 郑明明 林志毅 | 2019 | 计算机工程与设计2019，40，10： | 1 |
| 4 | Is It Easy to Recognize Baby's Age and Gender?显示文摘Face analysis tasks,e.g.,estimating gender or age from a face image,have been attracting increasing interest in recent years.However,most existing studies focus mainly on analyzing an adult's face and ignore an interesting question:is it easy to estimate gender and age from a baby's face?In this paper,we explore this interesting problem.We first collect a new face image dataset for our research,named BabyFace,which contains 15528 images from 5872 babies younger than two years old.Besides gender,each face image is annotated with age in months from 0 to 24.In addition,we propose new age estimation and gender recognition methods.In particular,based on SSR-Net backbone,we introduce the attention mechanism module to solve the age estimation problem on the BabyFace dataset,named SSR-SE.In the part of gender recognition,inspired by the age estimation method,we also use a two-stream structure,named Two-Steam SE-block with Augment(TSSEAug).We extensively evaluate the performance of the proposed methods against the state-of-the-art methods on BabyFace.Our age estimation model achieves very appealing performance with an estimation error of less than two months.The proposed gender recognition method obtains the best accuracy among all compared methods.To the best of our knowledge,we are the first to study age estimation and gender recognition from a baby's face image,which is complementary to existing adult gender and age estimation methods and can shed some light on exploring baby face analysis. | Yang Liu Ruili He Xiaoqian Lv Wei Wang Xin Sun Shengping Zhang | 2021 | Journal of Computer Science & Technology2021，36，3： | 0 |
| 5 | Real-Time Facial Pose Estimation and Tracking by Coarse-to-Fine Iterative Optimization显示文摘We present a novel and efficient method for real-time multiple facial poses estimation and tracking in a single frame or video.First,we combine two standard convolutional neural network models for face detection and mean shape learning to generate initial estimations of alignment and pose.Then,we design a bi-objective optimization strategy to iteratively refine the obtained estimations.This strategy achieves faster speed and more accurate outputs.Finally,we further apply algebraic filtering processing,including Gaussian filter for background removal and extended Kalman filter for target prediction,to maintain real-time tracking superiority.Only general RGB photos or videos are required,which are captured by a commodity monocular camera without any priori or label.We demonstrate the advantages of our approach by comparing it with the most recent work in terms of performance and accuracy. | Xiaolong Yang Xiaohong Jia Mengke Yuan Dong-Ming Yan | 2020 | Tsinghua Science and Technology2020，25，5： | 0 |
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