2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA)最新文献_第9页

Summarizing Surveillance Video by Saliency Transition and Moving Object Information 基于显著性过渡和运动目标信息的监控视频总结

2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA) Pub Date : 2015-11-01 DOI: 10.1109/DICTA.2015.7371311

M. Salehin, M. Paul

引用次数: 8

Hierarchical Aggregation Based Deep Aging Feature for Age Prediction 基于层次聚合的深度老化特征年龄预测

2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA) Pub Date : 2015-11-01 DOI: 10.1109/DICTA.2015.7371264

Jiayan Qiu, Yuchao Dai, Yuhang Zhang, J. Álvarez

引用次数: 4

3-D Modeling from Concept Sketches of Human Characters with Minimal User Interaction 3-D建模从概念草图的人类角色与最小的用户交互

2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA) Pub Date : 2015-11-01 DOI: 10.1109/DICTA.2015.7371212

A. Johnston, G. Carneiro, Ren Ding, L. Velho

{"title":"3-D Modeling from Concept Sketches of Human Characters with Minimal User Interaction","authors":"A. Johnston, G. Carneiro, Ren Ding, L. Velho","doi":"10.1109/DICTA.2015.7371212","DOIUrl":"https://doi.org/10.1109/DICTA.2015.7371212","url":null,"abstract":"We propose a new methodology for creating 3-D models for computer graphics applications from 2-D concept sketches of human characters using minimal user interaction. This methodology will facilitate the fast production of high quality 3-D models by non-expert users involved in the development process of video games and movies. The workflow starts with an image containing the sketch of the human character from a single viewpoint, in which a 2-D body pose detector is run to infer the positions of the skeleton joints of the character. Then the 3-D body pose and camera motion are estimated from the 2-D body pose detected from above, where we take a recently proposed methodology that works with real humans and adapt it to work with concept sketches of human characters. The final step of our methodology consists of an optimization process based on a sampling importance re-sampling method that takes as input the estimated 3-D body pose and camera motion and builds a 3-D mesh of the body shape, which is then matched to the concept sketch image. Our main contributions are: 1) a novel adaptation of the 3-D from 2-D body pose estimation methods to work with sketches of humans that have non-standard body part proportions and constrained camera motion; and 2) a new optimization (that estimates a 3-D body mesh using an underlying low-dimensional linear model of human shape) guided by the quality of the matching between the 3-D mesh of the body shape and the concept sketch. We show qualitative results based on seven 3-D models inferred from 2-D concept sketches, and also quantitative results, where we take seven different 3-D meshes to generate concept sketches, and use our method to infer the 3-D model from these sketches, which allows us to measure the average Euclidean distance between the original and estimated 3-D models. Both qualitative and quantitative results show that our model has potential in the fast production of 3-D models from concept sketches.","PeriodicalId":214897,"journal":{"name":"2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129122106","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Face Recognition Despite Wearing Glasses 戴眼镜也能识别人脸

2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA) Pub Date : 2015-11-01 DOI: 10.1109/DICTA.2015.7371260

A. Liang, Chathurdara Sri Nadith Pathirage, Chenyu Wang, Wanquan Liu, Ling Li, J. Duan

{"title":"Face Recognition Despite Wearing Glasses","authors":"A. Liang, Chathurdara Sri Nadith Pathirage, Chenyu Wang, Wanquan Liu, Ling Li, J. Duan","doi":"10.1109/DICTA.2015.7371260","DOIUrl":"https://doi.org/10.1109/DICTA.2015.7371260","url":null,"abstract":"In this paper we address the challenge of performing face recognition on human faces that are wearing glasses. This is a common problem for face recognition and automatic identity checking at airports, as passengers frequently forget to remove their glasses when passing through customs. In order to solve this problem, we first propose an automatic glasses presence detection model based on the tree-pictorial-structured face detection model and such model can detect the presence of glasses and further assign landmarks on the rim, hinge, and bridge of the glasses on frontal faces. Experimental results show that the glasses detection rate is highly satisfactory for various face databases. Secondly, based on the landmarks on glasses, we apply the non-local colour total variation (CTV) inpainting approach in an attempt to remove the glasses; also, we apply the deep learning technique to further remove the traces of glasses and light reflection on lenses by regarding them as noises. Finally, experiments for face recognition after glasses removal are conducted by using some typical approaches and the results show that our glasses removal framework can improve face recognition accuracy significantly.","PeriodicalId":214897,"journal":{"name":"2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA)","volume":"112 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124153427","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Level Set Based Segmentation of Cell Nucleus in Fluorescence Microscopy Images Using Correntropy-Based K-Means Clustering 基于相关系数的k -均值聚类的荧光显微镜细胞核水平集分割

2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA) Pub Date : 2015-11-01 DOI: 10.1109/DICTA.2015.7371279

A. Gharipour, Alan Wee-Chung Liew

引用次数: 2

A Revisit of Methods for Determining the Fundamental Matrix with Planes 平面基本矩阵的确定方法述评

2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA) Pub Date : 2015-11-01 DOI: 10.1109/DICTA.2015.7371221

Yi Zhou, L. Kneip, Hongdong Li

引用次数: 6

Non-Rigid Structure from Motion through Estimation of Blend Shapes 基于混合形状估计的运动非刚性结构

2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA) Pub Date : 2015-11-01 DOI: 10.1109/DICTA.2015.7371291

P. Zhang, Y. Hung

{"title":"Non-Rigid Structure from Motion through Estimation of Blend Shapes","authors":"P. Zhang, Y. Hung","doi":"10.1109/DICTA.2015.7371291","DOIUrl":"https://doi.org/10.1109/DICTA.2015.7371291","url":null,"abstract":"In this paper, we propose a prior-free approach to estimate non-rigid object from 2D image trajectories assuming the affine camera model. As mentioned in some recent works [7, 8], most low- rank methods are unable to recover objects with complex motion. We identify the small deformation condition as the condition fundamental to the triple column metric upgrade algorithm commonly used in many low-rank methods, and accordingly modify this algorithm so that it becomes independent of the number of basis. Inspired by the blend shape technique used in computer graphics, we model the non-rigid object as a combination of blend shapes. Unlike many existing methods that estimate an average shape plus a few directions of deformation, we recover each blend shape as a valid 3D shape through the introduction of a pseudo view, which helps to prevent degeneration in the direction of the camera axes. This gives the blend shapes clear physical meaning, and makes the method robust against overfitting. Experiments on synthetic datasets and real tracking datasets show that the proposed method outperforms the existing methods in both 3D error and robustness.","PeriodicalId":214897,"journal":{"name":"2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA)","volume":"142 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116573407","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Towards Fast 3D Reconstruction Using Silhouettes and Sparse Motion 对快速3D重建使用轮廓和稀疏运动

2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA) Pub Date : 2015-11-01 DOI: 10.1109/DICTA.2015.7371315

D. Eason, J. Heather, Gadi Ben-Tal

引用次数: 1

Probabilistic Detection of Pointing Directions for Human-Robot Interaction 人机交互中指向方向的概率检测

2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA) Pub Date : 2015-11-01 DOI: 10.1109/DICTA.2015.7371296

Dadhichi Shukla, Ö. Erkent, J. Piater

引用次数: 30

Birdcall Retrieval from Environmental Acoustic Recordings Using Image Processing 利用图像处理技术从环境录音中检索鸟鸣

2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA) Pub Date : 2015-11-01 DOI: 10.1109/DICTA.2015.7371242

Xueyan Dong, Philip Eichinski, M. Towsey, Jinglan Zhang, P. Roe

引用次数: 2