2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA)最新文献_第5页

OUHANDS database for hand detection and pose recognition 用于手部检测和姿态识别的OUHANDS数据库

2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA) Pub Date : 2016-12-01 DOI: 10.1109/IPTA.2016.7821025

M. Matilainen, Pekka Sangi, J. Holappa, O. Silvén

引用次数: 32

Comparison of 2D and 3D region-based deformable models and random walker methods for PET segmentation 基于二维和三维区域的可变形模型与随机步行者方法在PET分割中的比较

2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA) Pub Date : 2016-12-01 DOI: 10.1109/IPTA.2016.7820959

Kevin Gosse, S. Jehan-Besson, F. Lecellier, S. Ruan

引用次数: 0

From active appearance models and mnemonic descent to 3d morphable models: A brief history of statistical deformable models with examples in menpo 从活跃的外观模型和助记下降到三维变形模型:统计变形模型的简史与menpo中的例子

2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA) Pub Date : 2016-12-01 DOI: 10.1109/IPTA.2016.7821042

S. Zafeiriou, Jiri Matas

{"title":"From active appearance models and mnemonic descent to 3d morphable models: A brief history of statistical deformable models with examples in menpo","authors":"S. Zafeiriou, Jiri Matas","doi":"10.1109/IPTA.2016.7821042","DOIUrl":"https://doi.org/10.1109/IPTA.2016.7821042","url":null,"abstract":"Construction and fitting of Statistical Deformable Models (SDM) is in the core of computer vision and image analysis discipline. It can be used to estimate the object's shape, pose, parts and landmarks using only static imagery captured from monocular cameras. One of the first and most popular families of SDMs is that of Active Appearance Models. AAM uses a generative parameterization of object appearance and shape. The fitting process of AAMs is usually conducted by solving a non-linear optimization problem. In this talk I will start with a brief introduction to AAMs and I will continue with describing supervised methods for AAM fitting. Subsequently, under this framework, I will motivate current techniques developed in my group that capitalize on the combined power of Deep Convolutional Neural Networks (DCNN) and Recurrent NN (RNNs) for optimal deformable object modeling and fitting. Finally, I will show how we can extract dense shape of objects by building and fitting 3D Morphable Models. Examples will be given in the publicly available toolbox of my group called Menpo (http://www.menpo.org/).","PeriodicalId":123429,"journal":{"name":"2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA)","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132053121","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: 0

Acquiring multispectral light transport using multi-primary DLP projector 利用多主DLP投影仪获取多光谱光传输

2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA) Pub Date : 2016-12-01 DOI: 10.1109/IPTA.2016.7820966

Kayano Maeda, Takahiro Okabe

{"title":"Acquiring multispectral light transport using multi-primary DLP projector","authors":"Kayano Maeda, Takahiro Okabe","doi":"10.1109/IPTA.2016.7820966","DOIUrl":"https://doi.org/10.1109/IPTA.2016.7820966","url":null,"abstract":"Acquiring the light transport (LT) of a scene is important for various applications such as radiometric analysis, image-based relighting, and controlling appearance of the scene. The multispectral LT, i.e. the LT in multiple primary colors enables us not only to enhance the color gamut but also to investigate wavelength-dependent interactions between light and a scene. In this paper, we propose a method for acquiring the multispectral LT by using a single off-the-shelf multi-primary DLP (Digital Light Processing) projector; it does not require any self-built equipment, geometric registration, and temporal synchronization. Specifically, based on the rapid color switch due to a rotating color wheel in the projector, we present a method for estimating the spectral properties of the projector in a non-destructive manner, and a method for acquiring the images of a scene illuminated only by one of the primary colors. We conducted a number of experiments by using real images, and confirmed that our method works well and the acquired multispectral LT is effective for radiometric analysis and image-based relighting.","PeriodicalId":123429,"journal":{"name":"2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132324446","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

On the use of image quality measures for image restoration 浅谈图像质量措施在图像恢复中的应用

2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA) Pub Date : 2016-12-01 DOI: 10.1109/IPTA.2016.7821030

Fouad Boudjenouia, K. Abed-Meraim, A. Chetouani, R. Jennane

引用次数: 1

Color correction in image stitching using histogram specification and global mapping 使用直方图规范和全局映射的图像拼接中的颜色校正

2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA) Pub Date : 2016-12-01 DOI: 10.1109/IPTA.2016.7821034

Qi-Chong Tian, L. Cohen

引用次数: 4

De-convolutional auto-encoder for enhancement of fingerprint samples 用于指纹样本增强的去卷积自编码器

2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA) Pub Date : 2016-12-01 DOI: 10.1109/IPTA.2016.7821036

Patrick Schuch, Simon-Daniel Schulz, C. Busch

引用次数: 18

Fusion system based on belief functions theory and approximated belief functions for tree species recognition 基于信念函数理论和近似信念函数的树种识别融合系统

2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA) Pub Date : 2016-12-01 DOI: 10.1109/IPTA.2016.7820955

R. Ameur, L. Valet, D. Coquin

引用次数: 2

MedianStruck for long-term tracking applications MedianStruck用于长期跟踪应用程序

2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA) Pub Date : 2016-12-01 DOI: 10.1109/IPTA.2016.7821029

Florian Baumann, E. Dayangac, J. Aulinas, M. Zobel

引用次数: 1

Efficient BSIF-based near-infrared iris recognition 高效的基于bsif的近红外虹膜识别

2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA) Pub Date : 2016-12-01 DOI: 10.1109/IPTA.2016.7820932

C. Rathgeb, F. Struck, C. Busch

{"title":"Efficient BSIF-based near-infrared iris recognition","authors":"C. Rathgeb, F. Struck, C. Busch","doi":"10.1109/IPTA.2016.7820932","DOIUrl":"https://doi.org/10.1109/IPTA.2016.7820932","url":null,"abstract":"Binarized statistical image features (BSIF) represents a general purpose texture descriptor originally designed for texture description and classification, such as local binary patterns (LBP) or local phase quantisation (LPQ). Recently, BSIF has extensively been applied for the purpose of biometric recognition, for instance based on face or palmprint images. While recognition accuracy reported for different biometric characteristics indicates its applicability to iris recognition, up till now BSIF has primarily been employed for iris spoofing detection in particular, fake contact lens detection. In this work we present an adaptation of BSIF for near-infrared iris recognition. In accordance with generic iris recognition schemes, a specific alignment procedure is introduced in order to achieve robustness against head tilts. Further, we propose a binarization method for BSIF-based feature histograms, to obtain a compact feature representation, which allows for a rapid comparison. On the CASIAv4-Interval iris database the proposed system achieves competitive biometric performance obtaining EERs below 0.6%, compared to traditional schemes based on Log-Gabor and quadratic spline wavelets revealing EERs of approximately 0.4%. Moreover, we show that BSIF-based feature vectors complement those extracted by traditional systems, yielding a significant performance gain in a multi-algorithm fusion scenario resulting in an EER below 0.2%, which further underlines the usefulness of the presented approach.","PeriodicalId":123429,"journal":{"name":"2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116569018","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: 10