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IEEE International Conference on Image Processing 2005最新文献

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View and texture-independent facial expression recognition in videos using dynamic programming 基于动态规划的视频视觉与纹理无关的面部表情识别
IEEE International Conference on Image Processing 2005 Pub Date : 2005-11-14 DOI: 10.1109/ICIP.2005.1530305
F. Dornaika, F. Davoine
{"title":"View and texture-independent facial expression recognition in videos using dynamic programming","authors":"F. Dornaika, F. Davoine","doi":"10.1109/ICIP.2005.1530305","DOIUrl":"https://doi.org/10.1109/ICIP.2005.1530305","url":null,"abstract":"In this paper, we address the recognition of facial expressions in continuous videos. We introduce a fast and texture-independent approach that exploits facial action parameters estimated by an appearance-based 3D tracker. We represent the learned facial actions associated with different facial expressions by time series. We adopt a dynamic time warping technique for recognizing the facial expressions using similarity measures between the learned time series and the tracked ones. The developed approach can be used online and can deal with non-frontal face images since it is view-independent. Preliminary experiments demonstrated the effectiveness of the developed method.","PeriodicalId":295452,"journal":{"name":"IEEE International Conference on Image Processing 2005","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127121908","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: 12
Neural networks in two cascade algorithms for spectral reflectance reconstruction 神经网络中的两种级联算法用于光谱反射率重建
IEEE International Conference on Image Processing 2005 Pub Date : 2005-11-14 DOI: 10.1109/ICIP.2005.1530156
A. Mansouri, F. Marzani, P. Gouton
{"title":"Neural networks in two cascade algorithms for spectral reflectance reconstruction","authors":"A. Mansouri, F. Marzani, P. Gouton","doi":"10.1109/ICIP.2005.1530156","DOIUrl":"https://doi.org/10.1109/ICIP.2005.1530156","url":null,"abstract":"In this paper, we deal with the problem of the spectral reflectance curves reconstruction. Because of the reconstruction of such curves is an inverse problem, slight variations in input data completely skew the expected results. So, finding a robust reconstruction operator is highly required. We present a robust method based upon neural networks. This method takes advantage of that neural networks are generally robust to the noise. Furthermore, we propose two cascade algorithms of using these neural networks. The first algorithm allows faithful reconstruction of spectra that are previously learned. The second algorithm allows good generalization allowing for reconstructing a wide range of reflectance that are not learned in the training stage. The results confirm the robustness and the reliability of the proposed method compared to some classical ones.","PeriodicalId":295452,"journal":{"name":"IEEE International Conference on Image Processing 2005","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127158764","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: 37
Blocking artifact reduction method based on non-iterative POCS in the DCT domain 基于非迭代POCS的DCT域块伪影减少方法
IEEE International Conference on Image Processing 2005 Pub Date : 2005-11-14 DOI: 10.1109/ICIP.2005.1530232
Changboon Yim, N. Cho
{"title":"Blocking artifact reduction method based on non-iterative POCS in the DCT domain","authors":"Changboon Yim, N. Cho","doi":"10.1109/ICIP.2005.1530232","DOIUrl":"https://doi.org/10.1109/ICIP.2005.1530232","url":null,"abstract":"The post-processing method based on projections onto convex sets (POCS) has demonstrated good performance for blocking artifact reduction. However the iterative procedure in POCS requires a lot of computations, and would be infeasible for practical post-processing applications with real-time constraints. In this paper, we propose non-iterative post-processing method based on POCS in DCT domain for complexity reduction. In DCT domain POCS (D-POCS), the low-pass filtering (LPF) is performed in the DCT domain to remove the inverse DCT and forward DCT modules from POCS. Through the investigation of LPF in iterative POCS, we define kth order LPF which is equivalent to the LPF with k iterations. By combining DCT domain filtering and the kth order LPF concept, we define kth order DCT domain LPF. Simulation results show that the proposed D-POCS without iteration gives very close PSNR and subjective quality performance compared to the conventional POCS with iterations, while it requires much less computational complexity. If we take into account typical sparseness in DCT coefficients, the D-POCS method gives tremendous complexity reduction. Hence the proposed D-POCS would be an attractive method for practical real-time post-processing applications.","PeriodicalId":295452,"journal":{"name":"IEEE International Conference on Image Processing 2005","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125819972","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: 5
Perceptually optimized MPEG compression of synthetic video sequences 感知优化合成视频序列的MPEG压缩
IEEE International Conference on Image Processing 2005 Pub Date : 2005-11-14 DOI: 10.1109/ICIP.2005.1529822
E. Masala, D. Quaglia
{"title":"Perceptually optimized MPEG compression of synthetic video sequences","authors":"E. Masala, D. Quaglia","doi":"10.1109/ICIP.2005.1529822","DOIUrl":"https://doi.org/10.1109/ICIP.2005.1529822","url":null,"abstract":"This paper addresses the problem of improving the quality performance of synthetic video sequences by means of standard frame-based coders. The proposed technique can exploit both the knowledge of the 3D model and the intermediate information computed during the rendering process. Firstly, objects are classified, either semantically or automatically, according to their importance. Then the object classification is translated into a macroblock classification, with particular attention to object boundaries. The classification influences the encoder parameters selection, for instance, the quantization parameter. In order to maximize the performance, we propose a rate-distortion formulation of the problem. Experimental results compared with model-unaware encoding show that the proposed techniques can deliver consistent visual quality improvements for different synthetic scenarios using the same bitrate or even less. Demo sequences are available at http://media.polito.it/perceptual3d.","PeriodicalId":295452,"journal":{"name":"IEEE International Conference on Image Processing 2005","volume":"2673 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125861527","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
Realtime head and hands tracking by monocular vision 单目视觉实时头部和手部跟踪
IEEE International Conference on Image Processing 2005 Pub Date : 2005-11-14 DOI: 10.1109/ICIP.2005.1530302
A. Vacavant, T. Chateau
{"title":"Realtime head and hands tracking by monocular vision","authors":"A. Vacavant, T. Chateau","doi":"10.1109/ICIP.2005.1530302","DOIUrl":"https://doi.org/10.1109/ICIP.2005.1530302","url":null,"abstract":"This paper deals with areas detection and tracking using color based image processing. The application addressed concerns human head and hands tracking. We propose an original method in order to locate, for a foreground image, colored areas. Foreground image is provided by a probabilistic way using Gaussian mixture models (GMM) of probability density functions. The temporal tracking is then achieved by a particle filter, which is well adapted to partial occlusions and non Gaussian models.","PeriodicalId":295452,"journal":{"name":"IEEE International Conference on Image Processing 2005","volume":"157 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125968262","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: 5
3D face recognition using passive stereo vision 利用被动立体视觉进行三维人脸识别
IEEE International Conference on Image Processing 2005 Pub Date : 2005-11-14 DOI: 10.1109/ICIP.2005.1530214
Naohode Uchida, T. Shibahara, T. Aoki, H. Nakajima, Koji Kobayashi
{"title":"3D face recognition using passive stereo vision","authors":"Naohode Uchida, T. Shibahara, T. Aoki, H. Nakajima, Koji Kobayashi","doi":"10.1109/ICIP.2005.1530214","DOIUrl":"https://doi.org/10.1109/ICIP.2005.1530214","url":null,"abstract":"This paper proposes a face recognition system that uses (i) passive stereo vision to capture three-dimensional (3D) facial information and (ii) 3D matching using a simple ICP (iterative closest point) algorithm. So far, the reported 3D face recognition techniques assume the use of active 3D measurement for 3D facial capture. However, active methods employ structured illumination (structure projection, phase shift, gray-code demodulation, etc.) or laser scanning, which is not desirable in many human recognition applications. A major problem of using passive stereo vision for 3D measurement is its low accuracy, and thus no passive methods for 3D face recognition have been reported previously. Addressing this problem, we have newly developed a high-accuracy 3D measurement system based on passive stereo vision, where phase-based image matching is employed for sub-pixel disparity estimation. This paper presents the first attempt to create a practical face recognition system based on fully passive 3D reconstruction.","PeriodicalId":295452,"journal":{"name":"IEEE International Conference on Image Processing 2005","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125970329","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: 92
Reducing aliasing in wavelets based downsampling for improved resolution scalability 减少基于小波下采样的混叠，提高分辨率的可扩展性
IEEE International Conference on Image Processing 2005 Pub Date : 2005-11-14 DOI: 10.1109/ICIP.2005.1530201
G. Abhayaratne
{"title":"Reducing aliasing in wavelets based downsampling for improved resolution scalability","authors":"G. Abhayaratne","doi":"10.1109/ICIP.2005.1530201","DOIUrl":"https://doi.org/10.1109/ICIP.2005.1530201","url":null,"abstract":"In wavelets based coding applications, resolution scalability is achieved by retaining the low pass signal subband corresponds to the required resolution and discarding other high pass wavelet subbands. Aliasing is a common problem present in such downsampling. In this paper a novel technique for improving the low pass filter for improved downsampling is presented. This method uses an extra update step followed by P+U lifting scheme. The preprocessing update step is chosen as the dual update step associated with the wavelet. The spatially adaptive low pass (SALP) filtering concept is used for the second update step, leading to an overall low pass filter whose size adapts to the underlying signal content. The filter choices for the second update step is recovered at the decoder without any bookkeeping. Results using the 2D 5/3 wavelet with the extra pre-processing update step show improvements over conventional wavelets.","PeriodicalId":295452,"journal":{"name":"IEEE International Conference on Image Processing 2005","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125970644","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: 7
Locally adaptable mathematical morphology 局部适应数学形态学
IEEE International Conference on Image Processing 2005 Pub Date : 2005-11-14 DOI: 10.1109/ICIP.2005.1530007
O. Cuisenaire
{"title":"Locally adaptable mathematical morphology","authors":"O. Cuisenaire","doi":"10.1109/ICIP.2005.1530007","DOIUrl":"https://doi.org/10.1109/ICIP.2005.1530007","url":null,"abstract":"We investigate how common binary mathematical morphology operators can be adapted so that the size of the structuring element (SE) can vary across the image. We show that when the SE are balls of a metric, locally adaptable erosion and dilation can be efficiently implemented as a variant of distance transformation algorithms. Opening and closing are obtained by a local threshold of a distance transformation, followed by the adaptable dilation.","PeriodicalId":295452,"journal":{"name":"IEEE International Conference on Image Processing 2005","volume":"229 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123255158","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: 13
A novel framework for object removal from digital photograph 一种新的数字照片对象去除框架
IEEE International Conference on Image Processing 2005 Pub Date : 2005-11-14 DOI: 10.1109/ICIP.2005.1529994
Jhing-Fa Wang, H. Hsu, Shang-Chia Liao
{"title":"A novel framework for object removal from digital photograph","authors":"Jhing-Fa Wang, H. Hsu, Shang-Chia Liao","doi":"10.1109/ICIP.2005.1529994","DOIUrl":"https://doi.org/10.1109/ICIP.2005.1529994","url":null,"abstract":"This work aims for a novel function for smart camera-redundant object removal from digital photograph. The proposed novel framework can fill the left lacuna region in the digital image. In previous related researches, texture synthesis and image inpainting construct the fundamentals of filling the lost image region. Texture synthesis can be used to fill the large hole of input texture, while image inpainting can be used to repair the small image gaps. In this paper, we propose an object removal framework by the sub-patch texture synthesis algorithm and weighted interpolation method with automatic repainting mechanism. In the filling process, the color distribution analysis is used to choose different methods. The exhaustive computation time is reduced by the weighted interpolation method. In order to repaint the faulty texture region intelligently, we use the color ratio gradients to detect the synthesized artifact region. The automatic artifact detection can lead repainting the faulty region without user intervention. The proposed algorithm can achieve better performance with seamless output images. The regular computation is also suitable for hardware architecture different from previous existing algorithms.","PeriodicalId":295452,"journal":{"name":"IEEE International Conference on Image Processing 2005","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122530747","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: 8
Pedestrian classification from moving platforms using cyclic motion pattern 基于循环运动模式的移动平台行人分类
IEEE International Conference on Image Processing 2005 Pub Date : 2005-11-14 DOI: 10.1109/ICIP.2005.1530190
Yang Ran, Q. Zheng, I. Weiss, L. Davis, W. Abd-Almageed, Liang Zhao
{"title":"Pedestrian classification from moving platforms using cyclic motion pattern","authors":"Yang Ran, Q. Zheng, I. Weiss, L. Davis, W. Abd-Almageed, Liang Zhao","doi":"10.1109/ICIP.2005.1530190","DOIUrl":"https://doi.org/10.1109/ICIP.2005.1530190","url":null,"abstract":"This paper describes an efficient pedestrian detection system for videos acquired from moving platforms. Given a detected and tracked object as a sequence of images within a bounding box, we describe the periodic signature of its motion pattern using a twin-pendulum model. Then a principle gait angle is extracted in every frame providing gait phase information. By estimating the periodicity from the phase data using a digital phase locked loop (dPLL), we quantify the cyclic pattern of the object, which helps us to continuously classify it as a pedestrian. Past approaches have used shape detectors applied to a single image or classifiers based on human body pixel oscillations, but ours is the first to integrate a global cyclic motion model and periodicity analysis. Novel contributions of this paper include: i) development of a compact shape representation of cyclic motion as a signature for a pedestrian, ii) estimation of gait period via a feedback loop module, and iii) implementation of a fast online pedestrian classification system which operates on videos acquired from moving platforms.","PeriodicalId":295452,"journal":{"name":"IEEE International Conference on Image Processing 2005","volume":"3 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116821653","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: 16
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