2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA)最新文献_第5页

Face Recognition against Mouth Shape Variations 针对嘴型变化的人脸识别

2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA) Pub Date : 2015-11-01 DOI: 10.1109/DICTA.2015.7371259

Mustafa M. Alrjebi, Wanquan Liu, Ling Li

{"title":"Face Recognition against Mouth Shape Variations","authors":"Mustafa M. Alrjebi, Wanquan Liu, Ling Li","doi":"10.1109/DICTA.2015.7371259","DOIUrl":"https://doi.org/10.1109/DICTA.2015.7371259","url":null,"abstract":"In this paper, face recognition against mouth shape variations is investigated. In order to detect possible mouth variations, the inner mouth landmarks are first detected by a landmark detector and then used to estimate the connectivity between the upper lip and the lower lip of a face image. The vertical distance between the middle inner points of upper lip and the lower lip is calculated, and then used with appropriate threshold to decide whether the two lips are connected or separated. If the two lips are not connected, we further detect the teeth positions based on the colour pixel values, and then a face can be classified into four classes: closed mouth (C), closed mouth with teeth (Ct), open mouth (O), and open mouth with teeth (Ot). Next we attempt to transform face images in classes Ct and Ot into classes C and O respectively, and this is done by shrinking the areas with the upper and lower parts of the mouth by a proposed alignment approach. In this mouth closing process, both face areas located above and below the mouth are changed dramatically and the whole face image is vertically stretched to the original size in order to change the face image into neutral appearance. Extensive experiments on AR database and BU database show that the proposed shape correction approach to closing an opened mouth can significantly increase the recognition rate up to 21.5% by using PCA and 17.5% by using LDA.","PeriodicalId":214897,"journal":{"name":"2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA)","volume":"101 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":"134140618","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

Learning Efficiently- The Deep CNNs-Tree Network 高效学习-深度cnn树网络

2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA) Pub Date : 2015-11-01 DOI: 10.1109/DICTA.2015.7371277

Fu-Chun Hsu, J. Gubbi, M. Palaniswami

引用次数: 0

Closed-Form Solutions for Low-Rank Non-Rigid Reconstruction 低阶非刚性重构的闭型解

2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA) Pub Date : 2015-11-01 DOI: 10.1109/DICTA.2015.7371247

Jack Valmadre, S. Sridharan, S. Denman, C. Fookes, S. Lucey

{"title":"Closed-Form Solutions for Low-Rank Non-Rigid Reconstruction","authors":"Jack Valmadre, S. Sridharan, S. Denman, C. Fookes, S. Lucey","doi":"10.1109/DICTA.2015.7371247","DOIUrl":"https://doi.org/10.1109/DICTA.2015.7371247","url":null,"abstract":"Recovering the motion of a non-rigid body from a set of monocular images permits the analysis of dynamic scenes in uncontrolled environments. However, the extension of factorisation algorithms for rigid structure from motion to the low-rank non- rigid case has proved challenging. This stems from the comparatively hard problem of finding a linear ``corrective transform'' which recovers the projection and structure matrices from an ambiguous factorisation. We elucidate that this greater difficulty is due to the need to find multiple solutions to a non-trivial problem, casting a number of previous approaches as alleviating this issue by either a) introducing constraints on the basis, making the problems non- identical, or b) incorporating heuristics to encourage a diverse set of solutions, making the problems inter-dependent. While it has previously been recognised that finding a single solution to this problem is sufficient to estimate cameras, we show that it is possible to bootstrap this partial solution to find the complete transform in closed-form. However, we acknowledge that our method minimises an algebraic error and is thus inherently sensitive to deviation from the low-rank model. We compare our closed-form solution for non-rigid structure with known cameras to the closed-form solution of Dai et al.~cite{Dai2012}, which we find to produce only coplanar reconstructions. We therefore make the recommendation that 3D reconstruction error always be measured relative to a trivial reconstruction such as a planar one.","PeriodicalId":214897,"journal":{"name":"2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA)","volume":"25 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":"116769693","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: 6

The Quick Atmospheric Correction (QUAC) Algorithm for Hyperspectral Image Processing: Extending QUAC to a Coastal Scene 高光谱图像处理的快速大气校正(QUAC)算法:将QUAC扩展到海岸场景

2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA) Pub Date : 2015-11-01 DOI: 10.1109/DICTA.2015.7371314

S. Carr, L. Bernstein, S. Adler-Golden

引用次数: 9

Automatic Retinal Minimum Distance Band (MDB)Computation from SD-OCT Images SD-OCT图像视网膜最小距离带(MDB)自动计算

2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA) Pub Date : 2015-11-01 DOI: 10.1109/DICTA.2015.7371238

Md. Akter Hussain, A. Bhuiyan, K. Ramamohanarao

{"title":"Automatic Retinal Minimum Distance Band (MDB)Computation from SD-OCT Images","authors":"Md. Akter Hussain, A. Bhuiyan, K. Ramamohanarao","doi":"10.1109/DICTA.2015.7371238","DOIUrl":"https://doi.org/10.1109/DICTA.2015.7371238","url":null,"abstract":"In this paper, we have proposed a novel automatic method to determine the Minimum Distance Band (MDB) from the retinal SD-OCT image. MDB is the minimum distance between the retinal pigment epithelium (RPE) layer and the Optic Nerve Head (ONH) surface. It is an effective biomarker for early detection of glaucoma. Our proposed method is the first automatic method for computing the Minimum Distance Band (MDB). This method uses the approximate location of three benchmark reference (TBMR) layers of the retina that help to reduce the search space. This approach is highly accurate in detecting the boundary layers even in the presence of pathology. The terminal points of the RPE serve as the ONH region. The accuracies of ONH and MDB are tested against 13 manually graded optic disc centred SD-OCT volumes (11 B-scan per volume) of Glaucoma patients as a gold standard. Our method is very effective with mean and standard deviation of the error of the ONH width and MDB of 5.36±5.55 and 14.96±17.75 respectively. The precision, recall and F1 score for the ONH region are 94.90, 98.14 and 96.49 respectively.","PeriodicalId":214897,"journal":{"name":"2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA)","volume":"40 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":"124870436","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

Relative Depth Estimation from Hyperspectral Data 基于高光谱数据的相对深度估计

2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA) Pub Date : 2015-11-01 DOI: 10.1109/DICTA.2015.7371299

Ali Zia, J. Zhou, Yongsheng Gao

引用次数: 6

Performance Evaluation of a Newly Proposed Novel L-SPECT System for SPECT Imaging 一种用于SPECT成像的新型L-SPECT系统性能评价

2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA) Pub Date : 2015-11-01 DOI: 10.1109/DICTA.2015.7371294

Tasneem Rahman, M. Tahtali, M. Pickering

{"title":"Performance Evaluation of a Newly Proposed Novel L-SPECT System for SPECT Imaging","authors":"Tasneem Rahman, M. Tahtali, M. Pickering","doi":"10.1109/DICTA.2015.7371294","DOIUrl":"https://doi.org/10.1109/DICTA.2015.7371294","url":null,"abstract":"The importance of pre-clinical research of single photon emission computed tomography(SPECT) imaging is now widely recognized. For the demand of high resolution and high detection efficiency, SPECT has been developed in several ways and it is simultaneously making demand for high quality imaging. This paper introduces the newly proposed dual-head L-SPECT system and investigates the initial performance of the system having an array of pinholes as a collimator. The proposed L-SPECT system is based on the concept of light field imaging allowing the refocusing of images after exposure. A microlens array is placed just before the imaging sensor to simultaneously record the direction of incident light rays and their intensities. We are proposing a detector module with 48mm by 48mm of active area behind an array of 100×100 pinholes for gamma rays instead of microlenses. The system is based on a pixelated array of NaI crystals (10×10×10 mm elements) coupled with an array of position sensitive photomultiplier tubes (PSPMTs). The basic characteristics of this system were evaluated with pinhole radii of 50μm, 60μm and 100μm. The measurements of system sensitivity, system spatial resolution, energy resolution, volume sensitivity and uniformity were evaluated for 99mTc (140keV) solution where reconstructed images are well visualized. Monte Carlo simulation studies using the Geant4 Application for Tomographic Emission (GATE) software package validate the performance of this novel dual head L-SPECT where a general cylindrical water phantom is used to evaluate its performance. The analysis results show the combination of excellent spatial resolution and high detection efficiency over an energy range between 20-160 keV.","PeriodicalId":214897,"journal":{"name":"2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA)","volume":"32 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":"129086006","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: 1

Bio-Cell Image Segmentation Using Bayes Graph-Cut Model 基于贝叶斯图切模型的生物细胞图像分割

2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA) Pub Date : 2015-11-01 DOI: 10.1109/DICTA.2015.7371241

Maedeh Beheshti, J. Faichney, A. Gharipour

引用次数: 7

Plane-Tree Low-Bitrate Mesh Compression 平面树低比特率网格压缩

2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA) Pub Date : 2015-11-01 DOI: 10.1109/DICTA.2015.7371295

Luke Lincoln, R. González

引用次数: 0

A Study of the Region Covariance Descriptor: Impact of Feature Selection and Image Transformations 区域协方差描述子的研究:特征选择和图像变换的影响

2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA) Pub Date : 2015-11-01 DOI: 10.1109/DICTA.2015.7371222

Hayden Faulkner, Ergnoor Shehu, Zygmunt L. Szpak, W. Chojnacki, J. Tapamo, A. Dick, A. Hengel

引用次数: 7