{"title":"Reducing movement artifacts in whole body scanning","authors":"H. Daanen, M. A. Brunsman, K. Robinette","doi":"10.1109/IM.1997.603874","DOIUrl":"https://doi.org/10.1109/IM.1997.603874","url":null,"abstract":"Movement artifacts during whole body scanning are a major concern when reproducible results are required. To determine the magnitude of the artifacts, 11 subjects were scanned with and without a positioning device on the head. The sway of the body was determined by a force plate. It was shown that the pointer on the head reduced the magnitude of the forward/backward sway by over 50%. The resulting standard deviation is less than the resolution of the scanner. Movement artifacts within the body, like head rotation, are hard to control. Again, the pointer on the head assists in reducing the artifacts. The ventilation depth during the scan determines the shape of the chest and should be standardized to get reproducible results.","PeriodicalId":337843,"journal":{"name":"Proceedings. International Conference on Recent Advances in 3-D Digital Imaging and Modeling (Cat. No.97TB100134)","volume":"432 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1997-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124239544","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":"Road surface inspection using laser scanners adapted for the high precision 3D measurements of large flat surfaces","authors":"J. Laurent, M. Talbot, Michel Douce","doi":"10.1109/IM.1997.603880","DOIUrl":"https://doi.org/10.1109/IM.1997.603880","url":null,"abstract":"In this paper an optical configuration based on autosynchronized laser scanning is proposed for the 3D measurement of road surfaces. The advantages of this technique over classical triangulation methods are exposed. The road inspection system developed at the National Optics Institute (NOI) using this type of laser telemetry is also presented. This system uses two autosynchronized laser scanners in order to obtain transverse 3D and intensity profiles of road surfaces. Also described are simple algorithms which detect and measure rutting and cracking conditions. Results include rut measurements on both real and simulated 3D road profiles and a crack map of an actual pavement section.","PeriodicalId":337843,"journal":{"name":"Proceedings. International Conference on Recent Advances in 3-D Digital Imaging and Modeling (Cat. No.97TB100134)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1997-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128441303","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":"Frequency domain estimation of 3-D rigid motion based on range and intensity data","authors":"L. Lucchese, Gianfranco Doretto, G. Cortelazzo","doi":"10.1109/IM.1997.603855","DOIUrl":"https://doi.org/10.1109/IM.1997.603855","url":null,"abstract":"Video-rate registered range and intensity data are at reach of current sensor technology. This wealth of data can be profitably exploited in order to estimate rigid motion parameters as the approaches to 3-D motion estimation, based on the optical flow of both types of data, indicate. This work introduces an alternative for 3-D motion estimation based on the Fourier transform of the 3-D intensity function implicitly described by the registered time-sequences of range and intensity data. The proposed procedure can lead to an unsupervised method for 3-D rigid motion estimation. This method has several advantages related to the fact that it uses the total available information and not sets of features. With respect to memory occupancy the use of a time-sequence of a 3-D intensity function represents a considerable data reduction with respect to a pair of time-sequences of 2-D functions. The proposed technique, which extends to the 3-D case previous frequency domain estimation algorithms developed for the planar case, retain their robustness.","PeriodicalId":337843,"journal":{"name":"Proceedings. International Conference on Recent Advances in 3-D Digital Imaging and Modeling (Cat. No.97TB100134)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1997-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115893418","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":"Automatic CAD modeling of industrial pipes from range images","authors":"F. Goulette","doi":"10.1109/IM.1997.603870","DOIUrl":"https://doi.org/10.1109/IM.1997.603870","url":null,"abstract":"We present in this paper a method to obtain automatically CAD models of industrial pipes from range images. The models are based on two geometric primitives, cylinders and torii, which are enough to represent most parts of the pipes. The images are obtained with an accurate long-distance laser range sensor developed for reverse engineering in industrial structures. The key issue for automatic CAD modeling is the automatic segmentation of the data into subsets of points corresponding to the desired primitives. To do so, we use differential geometry to segment lines of centers of curvature into straight and curved parts, corresponding to the cylinder and torus parts of the original image. Differential geometry results being noisy and biased, we use an optimal approach for the computation of centers of curvature.","PeriodicalId":337843,"journal":{"name":"Proceedings. International Conference on Recent Advances in 3-D Digital Imaging and Modeling (Cat. No.97TB100134)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1997-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126605558","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":"CAD and vision in rangefinder-based dimensional metrology","authors":"H. Ailisto","doi":"10.1109/IM.1997.603873","DOIUrl":"https://doi.org/10.1109/IM.1997.603873","url":null,"abstract":"A concept of CAD model-based automated 3D measurement and the evaluation of its feasibility in cases drawn from industrial needs. Automated 3D measurement can be seen as comprising two steps: measurement planning and measurement execution. The concept was evaluated by implementing a graphical measurement planning tool and two automatic optical measurement systems equipped with vision systems for sensory feedback. The operation chain from CAD model-based measurement planning to comparison between the measured and designed geometries was demonstrated. Successful experiments with automatic operation controlled by the measurement plan and vision guidance were carried out and the key performance criteria were met.","PeriodicalId":337843,"journal":{"name":"Proceedings. International Conference on Recent Advances in 3-D Digital Imaging and Modeling (Cat. No.97TB100134)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1997-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125206789","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":"Active modeling of 3-D objects: planning on the next best pose (NBP) for acquiring range images","authors":"H. Zha, K. Morooka, T. Hasegawa, T. Nagata","doi":"10.1109/IM.1997.603850","DOIUrl":"https://doi.org/10.1109/IM.1997.603850","url":null,"abstract":"We propose a new method of creating a complete model of a curved object from multiple range images acquired by showing it at different poses. The pose of the object is changed by a manipulator in order to view the object from some specified viewpoints. The pose is planned after each new image is merged into a unified representation. A rating function for the planning is defined to take into consideration the factors such as possibility of merging new data, registration accuracy and control point selection.","PeriodicalId":337843,"journal":{"name":"Proceedings. International Conference on Recent Advances in 3-D Digital Imaging and Modeling (Cat. No.97TB100134)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1997-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134088463","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":"Generalized cylinders extraction in a range image","authors":"D. Dion, D. Laurendeau, R. Bergevin","doi":"10.1109/IM.1997.603859","DOIUrl":"https://doi.org/10.1109/IM.1997.603859","url":null,"abstract":"We deal with 3D object modeling using generalized cylinders from a single range image. We focus on right generalized cylinders, a class of generalized cylinders for which the cross-section is at right angle with the axis. No homogeneity or straightness constraints are imposed. The crucial part of this work is the extraction of axis points and the representation of the axis curve in 3D space. Interesting results are obtained with a broad variety of range images.","PeriodicalId":337843,"journal":{"name":"Proceedings. International Conference on Recent Advances in 3-D Digital Imaging and Modeling (Cat. No.97TB100134)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1997-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132729301","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":"Design considerations for a range image sensor containing a PSD-array and an on-chip multiplexer","authors":"M. D. Bakker, P. Verbeek, G. Steenvoorden","doi":"10.1109/IM.1997.603843","DOIUrl":"https://doi.org/10.1109/IM.1997.603843","url":null,"abstract":"In the present paper we introduce a range image sensor, the PSD-chip, designed for sheet of light range imaging. The image sensor consists of an array of 128 Position Sensitive Detector (PSD)-strips with a 20 mm length and a 28 /spl mu/m pitch. Design considerations for the image sensor are discussed, as well as the on-chip electronics. The on-chip electronics consists of an analog part and a digital part. The analog preamplifiers deal with the low-pass filtering of the sensor-signals in order to reduce the noise bandwidth. The digital part consists of an analog current multiplexer, implemented in ECL technology. Our goal is to achieve a 2 MHz range/frequency at 12 bits resolution.","PeriodicalId":337843,"journal":{"name":"Proceedings. International Conference on Recent Advances in 3-D Digital Imaging and Modeling (Cat. No.97TB100134)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1997-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132728051","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":"Fusing and guiding range measurements with colour video images","authors":"P. Jasiobedzki","doi":"10.1109/IM.1997.603885","DOIUrl":"https://doi.org/10.1109/IM.1997.603885","url":null,"abstract":"Combining data from different sensors provides richer data for visualisation and helps in automatic detection and recognition of objects. This paper presents two methods relating two dimensional images from colour CCD cameras with three dimensional data from range scanners. The first method is applicable in a static case and provides the geometrically correct solution. The second one offers an approximate solution but can be used in a dynamic environment for guiding selective range measurements and simplifies the calibration process. The error introduced by this approximation has been derived as a function of the distance to the object and geometry of the set-up. Results of combining range information from a laser camera and colour camera are presented.","PeriodicalId":337843,"journal":{"name":"Proceedings. International Conference on Recent Advances in 3-D Digital Imaging and Modeling (Cat. No.97TB100134)","volume":"259 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1997-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132913158","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":"Registration of 3-D partial surface models using luminance and depth information","authors":"S. Weik","doi":"10.1109/IM.1997.603853","DOIUrl":"https://doi.org/10.1109/IM.1997.603853","url":null,"abstract":"Textured surface models of three-dimensional objects are gaining importance in computer graphics applications. These models often have to be merged from several overlapping partial models which have to be registered (i.e. the relative transformation between the partial models has to be determined) prior to the merging process. In this paper a method is presented that makes use of both camera-based depth information (e.g. from stereo) and the luminance image. The luminance information is exploited to determine corresponding point sets on the partial surfaces using an optical flow approach. Quaternions are then employed to determine the transformation between the partial models which minimizes the sum of the 3-D Euclidian distances between the corresponding point sets. In order to find corresponding points on the partial surfaces luminance information is linearized. The procedure is iterated until convergence is reached. In contrast to only using depth information, employing luminance speeds up convergence and reduces remaining degrees of freedom (e.g. when registering sphere-like shapes).","PeriodicalId":337843,"journal":{"name":"Proceedings. International Conference on Recent Advances in 3-D Digital Imaging and Modeling (Cat. No.97TB100134)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1997-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114061601","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}