{"title":"Detection and compensation of image sequence jitter due to an unstable CCD camera for video tracking of a moving target","authors":"M. A. Z. Pisheh, A. Sheikhi","doi":"10.1109/TDPVT.2004.1335203","DOIUrl":"https://doi.org/10.1109/TDPVT.2004.1335203","url":null,"abstract":"Nowadays image motion analysis is considered as a significant subject in image processing and according to its characteristics is divided into different categories. This paper focuses on camera jitter as fast translations in image sequence due to an unstable platform. Our studies have led to do correlation matching [C-S. Fuh et al. (1991)] between well featured templates [M.A.Z. Pisheh et al. (2003), Y-P. Tan et al. (1996)] of successive frames to prevent aperture problems and thus have good estimation of the translations. But camera vibration may also suffer from rotation and scaling as nonlinear motions [G.J. Foster et al. (2000)] that may defect the matching process. Therefore mapping of 3D image points into camera image plane has been investigated to trace the effects of these nonlinear parameters in 2D motion equations [F.V. Heijden, (1996)]. Now by approximating these equations for minute rotation and bounded scaling between frame i and i+1, the set of motion equations with four unknowns ( rotation, scaling, horizontal/vertical translations) could be solved just by LSE [M.S. Grewal (2001)] method for a unique and optimized response. After all when we apply the estimated displacements on each frame for compensation, an stabilized sequence will conclude.","PeriodicalId":191172,"journal":{"name":"Proceedings. 2nd International Symposium on 3D Data Processing, Visualization and Transmission, 2004. 3DPVT 2004.","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116023744","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}
A. Sappa, Niki Aifanti, S. Malassiotis, M. Strintzis
{"title":"Unsupervised motion classification by means of efficient feature selection and tracking","authors":"A. Sappa, Niki Aifanti, S. Malassiotis, M. Strintzis","doi":"10.1109/TDPVT.2004.1335412","DOIUrl":"https://doi.org/10.1109/TDPVT.2004.1335412","url":null,"abstract":"We present an efficient technique for human motion recognition; in particular, it is focused on labeling a movement as a walking or running displacement, which are the most frequent type of locomotion. The proposed technique consists of two stages and is based on the study of feature points' trajectories. The first stage detects peaks and valleys of points' trajectories, which are used on the second stage to discern whether the movement corresponds to a walking or a running displacement. Prior knowledge of human body kinematics structure together with the corresponding motion model are the basis for the motion recognition. Experimental results with different video sequences are presented.","PeriodicalId":191172,"journal":{"name":"Proceedings. 2nd International Symposium on 3D Data Processing, Visualization and Transmission, 2004. 3DPVT 2004.","volume":"189 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123208320","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}
G. Boström, M. Fiocco, D. Puig, A. Rossini, J. Gonçalves, V. Sequeira
{"title":"Acquisition, modelling and rendering of very large urban environments","authors":"G. Boström, M. Fiocco, D. Puig, A. Rossini, J. Gonçalves, V. Sequeira","doi":"10.1109/TDPVT.2004.1335194","DOIUrl":"https://doi.org/10.1109/TDPVT.2004.1335194","url":null,"abstract":"We describe a vehicle borne data acquisition system for urban environments and associated 3D data management and interactive rendering software. The data acquisition system is capable of acquiring 3D data from urban areas with centimetre resolution including automatic capturing of colour. The system includes a management and interactive rendering software which is designed to cope with the huge quantities of data generated by the acquisition system. It uses out-of-core preprocessing to transform data into octrees. Real-time interactive rendering is achieved by using novel techniques such as front-to-back octree traversal, occlusion query and speculative prefetching. The paper presents the results of the described techniques applied to large public areas including the City Centre of Verona, Italy.","PeriodicalId":191172,"journal":{"name":"Proceedings. 2nd International Symposium on 3D Data Processing, Visualization and Transmission, 2004. 3DPVT 2004.","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128688793","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}
K. Müller, A. Smolic, P. Merkle, B. Kaspar, P. Eisert, T. Wiegand
{"title":"3D reconstruction of natural scenes with view-adaptive multi-texturing","authors":"K. Müller, A. Smolic, P. Merkle, B. Kaspar, P. Eisert, T. Wiegand","doi":"10.1109/TDPVT.2004.1335184","DOIUrl":"https://doi.org/10.1109/TDPVT.2004.1335184","url":null,"abstract":"We present a 3D reconstruction and modeling system that operates on a number of input photographs that show a natural scene. Approaches from computer graphics and image processing are combined and performance is shown via experiments. Furthermore, reconstruction quality is analyzed w.r.t. the number and distribution of textures, used for reconstruction. The reconstruction pipeline starts with image acquisition, which consists of a number of photographs of the scene that are sequentially taken at different positions. Since the photographs are not acquired concurrently, they are influenced by different illumination conditions that we mandate to be preserved in the final 3D representation. In the second step, object segmentation is applied and camera calibration provided. This allows the application of shape-from-silhouette approaches, namely a hierarchical voxel approach, where different resolution layers are organized within an octree structure. For applying texture mapping, the voxel model is transformed into a wireframe, which provides smoothing of the object's surface and also reduces the number of surface primitives. Finally, a subset of original images is mapped onto the 3D geometry to provide texture information. Here, view-adaptive multi-texturing is used to preserve natural illumination. Intermediate views are interpolated automatically using adaptive real-time weight calculations for original textures.","PeriodicalId":191172,"journal":{"name":"Proceedings. 2nd International Symposium on 3D Data Processing, Visualization and Transmission, 2004. 3DPVT 2004.","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114842443","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}
{"title":"Exploitation of 3D images for face authentication under pose and illumination variations","authors":"F. Tsalakanidou, S. Malassiotis, M. Strintzis","doi":"10.1109/TDPVT.2004.1335141","DOIUrl":"https://doi.org/10.1109/TDPVT.2004.1335141","url":null,"abstract":"An appearance-based face authentication system integrating 2D color or intensity images and 3D data is presented. The proposed system is based on a low-cost 3D and color sensor, capable of synchronous real-time acquisition of 3D images and associated color images. Novel algorithms are proposed that exploit depth information and prior knowledge of face geometry and symmetry to achieve robust face detection, localization and authentication under conditions of background clutter, occlusion, face pose alteration and harsh illumination. A method for the enrichment of face databases with synthetically generated views depicting variations in pose and illumination is proposed to cope with head rotations and illumination variations, avoiding a cumbersome enrolment process. The performance of the proposed authentication scheme is tested thoroughly on a face database of 1500 images, recorded with the 3D acquisition system. Experimental results demonstrate significant gains resulting from the combined use of depth and color or intensity information, in comparison to the use of 2D images alone.","PeriodicalId":191172,"journal":{"name":"Proceedings. 2nd International Symposium on 3D Data Processing, Visualization and Transmission, 2004. 3DPVT 2004.","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114358221","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}
N. Brusco, S. Carmignato, M. Andreetto, G. Cortelazzo
{"title":"Metrological analysis of a procedure for the automatic 3D modeling of dental plaster casts","authors":"N. Brusco, S. Carmignato, M. Andreetto, G. Cortelazzo","doi":"10.1109/TDPVT.2004.1335293","DOIUrl":"https://doi.org/10.1109/TDPVT.2004.1335293","url":null,"abstract":"As well known, in the reconstruction of the 3D models through optical systems, the errors are due to the single-view acquisition error and to the 3D modeling procedure. The latter can be ascribed to the various phases of the 3D modeling pipeline: pairwise registration, global registration, surface integration. This work examines the acquisition error as well as the errors due to an automatic procedure recently proposed for the 3D modeling of dental plaster casts. This contribution derives a simple error propagation model, rather useful for practical simulation purposes. From a general viewpoint, this contribution proposes a useful simulation of error propagation in 3D modeling, it shows the quality of an automatic 3D modeling procedure recently proposed and it shows the accuracy of 3D modeling dental plaster casts by current commercial range cameras and the considered automatic method.","PeriodicalId":191172,"journal":{"name":"Proceedings. 2nd International Symposium on 3D Data Processing, Visualization and Transmission, 2004. 3DPVT 2004.","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117264080","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}
{"title":"Fan-Meshes: a geometric primitive for point-based description of 3D models and scenes","authors":"Xiaotian Yan, Fang Meng, H. Zha","doi":"10.1109/TDPVT.2004.1335281","DOIUrl":"https://doi.org/10.1109/TDPVT.2004.1335281","url":null,"abstract":"We propose a data structure, called Fan-Meshes (FM), for reconstructing 3D models and scenes represented by dense scanning point clouds. It is a local piecewise linear approximation to the data geometry, and can serve as primitives in reconstruction with a good balance between computational loads and reconstruction quality. In our algorithm, local remeshing is performed in preprocessing to obtain regular FMs, and a three-level-point data structure called triangle selection record (TSR) is then used to reduce redundancies in the raw data and overlapping in the original FMs. Furthermore, to apply the method to raw 3D scanning data, we use a smoothing operator to the point cloud in order to eliminate some sensor noises. Experimental results demonstrate that our scheme is effective even for large-scale scenes with real data.","PeriodicalId":191172,"journal":{"name":"Proceedings. 2nd International Symposium on 3D Data Processing, Visualization and Transmission, 2004. 3DPVT 2004.","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129508956","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}
{"title":"Enhanced surface reconstruction from wide baseline images","authors":"Z. Megyesi, D. Chetverikov","doi":"10.1109/TDPVT.2004.1335274","DOIUrl":"https://doi.org/10.1109/TDPVT.2004.1335274","url":null,"abstract":"This work deals with the problem of dense matching from stereo images under wide baseline conditions. By considering the characteristic properties of widely separated views, we propose an extension to a recently published algorithm for detailed reconstruction of continuous surfaces. The algorithm compensates for the occurrent affine distortion between the views to allow low level intensity based comparison necessary for dense matching. The matching itself is performed by an enhanced region rowing based affine propagation method that takes surface distortion into account to handle complex piecewise-smooth surfaces. It is experimentally shown that this new method can achieve smooth and accurate reconstruction from wide baseline images of both indoor and outdoor scenes. To quantify the reconstruction results we have created realistic synthetic datasets with ground truth. These datasets form the core of a future testbed for comparison of different wide baseline surface reconstruction techniques. In the current study, results on the synthetic images are compared to the ground truth to measure the accuracy of our method.","PeriodicalId":191172,"journal":{"name":"Proceedings. 2nd International Symposium on 3D Data Processing, Visualization and Transmission, 2004. 3DPVT 2004.","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133673380","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}
{"title":"Adaptive space carving","authors":"A. Montenegro, P. Carvalho, M. Gattass, L. Velho","doi":"10.1109/TDPVT.2004.1335195","DOIUrl":"https://doi.org/10.1109/TDPVT.2004.1335195","url":null,"abstract":"In this work, we present an adaptive space carving method for scene reconstruction from a set of images obtained from low cost calibrated Webcams. Our method uses a combination of silhouette and photometric information to efficiently carve the shape of the observed scene out of a volumetric space represented by an octree data structure. In this method different resolutions are considered both in object space and in image space. This led us to adopt a strategy in which the information used by the photo-consistency test is registered in scene space by projective texture mapping. Another important question addressed in this work is the high level of noise present in low cost Webcams. To deal with this problem we devised a statistical photo-consistency test that uses statistical estimators for the noise introduced by the sensors of the cameras.","PeriodicalId":191172,"journal":{"name":"Proceedings. 2nd International Symposium on 3D Data Processing, Visualization and Transmission, 2004. 3DPVT 2004.","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131690769","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}
{"title":"Facial view synthesis from a single image using shape from shading","authors":"W. Smith, A. Robles-Kelly, E. Hancock","doi":"10.1109/3DPVT.2004.58","DOIUrl":"https://doi.org/10.1109/3DPVT.2004.58","url":null,"abstract":"We present a facial view synthesis technique based on explicit shape and reflectance information extracted from a single image. The technique combines an image based reflectance estimation process with a novel method of interpolating between needle-maps recovered using shape from shading. This allows images of a face to be synthesised under novel lighting, pose and skin reflectance given only one example image. We exploit facial symmetry by reflecting the needle-map of a rotated face to yield the needle-map of the face rotated in the opposite direction. This provides two needle-maps between which interpolation can be performed.","PeriodicalId":191172,"journal":{"name":"Proceedings. 2nd International Symposium on 3D Data Processing, Visualization and Transmission, 2004. 3DPVT 2004.","volume":"66 11","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133140449","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}