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[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition最新文献

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Autonomous motion vision 自主运动视觉
[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition Pub Date : 1992-08-30 DOI: 10.1109/ICPR.1992.201548
M. Taalebinezhaad
{"title":"Autonomous motion vision","authors":"M. Taalebinezhaad","doi":"10.1109/ICPR.1992.201548","DOIUrl":"https://doi.org/10.1109/ICPR.1992.201548","url":null,"abstract":"Earlier, the author (1991) introduced a direct method called fixation for the recovery of shape and motion in the general case. The method uses neither feature correspondence nor optical flow. Instead, it directly employs the spatio-temporal gradients of images brightnesses. The present paper reports the experimental results of applying some of the fixation algorithms to a sequence of real images where the motion is a combination of translation and rotation. Techniques for autonomous choice of parameters which result in good estimates for important motion parameters are also described.<<ETX>>","PeriodicalId":410961,"journal":{"name":"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132772741","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
Analysis of the stereo correspondence process in scenes with narrow occluding objects 窄遮挡场景立体对应过程分析
[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition Pub Date : 1992-08-30 DOI: 10.1109/ICPR.1992.201602
U. R. Dhond, J. Aggarwal
{"title":"Analysis of the stereo correspondence process in scenes with narrow occluding objects","authors":"U. R. Dhond, J. Aggarwal","doi":"10.1109/ICPR.1992.201602","DOIUrl":"https://doi.org/10.1109/ICPR.1992.201602","url":null,"abstract":"Most contemporary stereo correspondence algorithms impose global consistency among candidate match-points by solely using a spatial hierarchy mechanism. This paper analyzes the stereo matching failures caused by the spatial hierarchy mechanism in the presence of narrow occluding objects. The lessons learned from this occlusion analysis are used to formulate a new global matching framework-dynamic disparity search. The authors present experimental results showing a significant decrease in the false positive match-rate with a dynamic disparity search-based stereo algorithm as compared to a spatial hierarchy mechanism-based algorithm.<<ETX>>","PeriodicalId":410961,"journal":{"name":"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116924835","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
Motion analysis of human ambulatory patterns 人体运动模式的运动分析
[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition Pub Date : 1992-08-30 DOI: 10.1109/ICPR.1992.201545
R. J. Qian, Thomas S. Huang
{"title":"Motion analysis of human ambulatory patterns","authors":"R. J. Qian, Thomas S. Huang","doi":"10.1109/ICPR.1992.201545","DOIUrl":"https://doi.org/10.1109/ICPR.1992.201545","url":null,"abstract":"Studying the visual motion of human ambulatory patterns is of great importance for both vision research and applications. The authors first present three new algorithms for the recovery of three-dimensional structures from the motion of certain types of joints of articulated objects assuming perspective projection. Then based on the assumption that a human body can be considered as an articulated object and each part of the articulated object is rigid, they apply these algorithms to motion analysis of human ambulatory patterns in a combined way. The proposed algorithms have been tested in terms of the uniqueness of real solution and the speed of convergence using the synthesized data.<<ETX>>","PeriodicalId":410961,"journal":{"name":"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134570286","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
An efficient approach to compute fractal dimension in texture image 一种有效的纹理图像分形维数计算方法
[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition Pub Date : 1992-08-30 DOI: 10.1109/ICPR.1992.201575
B. Chaudhuri, Nirupam Sarkar
{"title":"An efficient approach to compute fractal dimension in texture image","authors":"B. Chaudhuri, Nirupam Sarkar","doi":"10.1109/ICPR.1992.201575","DOIUrl":"https://doi.org/10.1109/ICPR.1992.201575","url":null,"abstract":"Fractal dimension is a feature used to characterize roughness and self-similarity in a picture. This feature is used in texture segmentation and classification, shape analysis and other problems. An efficient differential box-counting approach to fractal dimension estimation is proposed and compared with four other methods.<<ETX>>","PeriodicalId":410961,"journal":{"name":"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124329386","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: 21
Self-calibration of a camera using multiple images 使用多个图像的相机自校准
[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition Pub Date : 1992-08-30 DOI: 10.1109/ICPR.1992.201497
Q. Luong, O. Faugeras
{"title":"Self-calibration of a camera using multiple images","authors":"Q. Luong, O. Faugeras","doi":"10.1109/ICPR.1992.201497","DOIUrl":"https://doi.org/10.1109/ICPR.1992.201497","url":null,"abstract":"The problem of calibrating cameras is extremely important in computer vision. Existing work is based on the use of a calibration pattern whose 3D model is known a priori. The authors present a complete method for calibrating a camera, which requires only point matches from image sequences. The authors show, using experiments with noisy data, that it is possible to calibrate a camera just by pointing it at the environment, selecting points of interests, and tracking them in the image while moving the camera with an unknown motion. The camera calibration is computed in two steps. In the first step the epipolar transformation is found via the estimation of the fundamental matrix. The second step of the computation uses the so-called Kruppa equations, which link the epipolar transformation to the intrinsic parameters. These equations are integrated in an iterative filtering scheme.<<ETX>>","PeriodicalId":410961,"journal":{"name":"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122957732","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: 29
Determination of the relative orientation of projections of asymmetric objects 确定不对称物体投影的相对方向
[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition Pub Date : 1992-08-30 DOI: 10.1109/ICPR.1992.201559
P. D. Lauren, N. Nandhakumar
{"title":"Determination of the relative orientation of projections of asymmetric objects","authors":"P. D. Lauren, N. Nandhakumar","doi":"10.1109/ICPR.1992.201559","DOIUrl":"https://doi.org/10.1109/ICPR.1992.201559","url":null,"abstract":"The ability to determine the relative view orientation of objects from their projections has enabled well established tomographic techniques to be employed in the three-dimensional reconstruction of objects from images obtained via modalities where the orientation of the objects cannot be controlled. Most techniques used to determine particle orientation from projections assume that the particle exhibits some form of symmetry. A method is described for the determination of the relative view orientation of randomly acquired projections of asymmetric objects. It extends upon the projection slice theorem by determining the relative orientation of projections by the location of lines of intersection among the Fourier transforms of the projections in three-dimensional Fourier space. The complete algorithm is described and its efficacy is demonstrated using real data.<<ETX>>","PeriodicalId":410961,"journal":{"name":"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128581318","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
Selective scene modeling 选择性场景建模
[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition Pub Date : 1992-08-30 DOI: 10.1109/ICPR.1992.201514
F. Solina, A. Leonardis
{"title":"Selective scene modeling","authors":"F. Solina, A. Leonardis","doi":"10.1109/ICPR.1992.201514","DOIUrl":"https://doi.org/10.1109/ICPR.1992.201514","url":null,"abstract":"Proposes an efficient architecture for selective image modeling. The authors give an example in which models of different scale are reconstructed in parallel. It is shown that this redundant representation can effectively be pruned using the criterion of minimum description length. Models that are selected in the final description indicate the appropriate scale of observation.<<ETX>>","PeriodicalId":410961,"journal":{"name":"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition","volume":"7 8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115509081","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: 4
INTEGRA-an integrated approach to range image understanding integra -一种综合的距离图像理解方法
[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition Pub Date : 1992-08-30 DOI: 10.1109/ICPR.1992.201639
S. Bhandarkar, A. Siebert
{"title":"INTEGRA-an integrated approach to range image understanding","authors":"S. Bhandarkar, A. Siebert","doi":"10.1109/ICPR.1992.201639","DOIUrl":"https://doi.org/10.1109/ICPR.1992.201639","url":null,"abstract":"The design and implementation of INTEGRA is described. INTEGRA is a range image understanding system that attempts to exploit the synergy between the various stages in the image understanding process i.e. segmentation, feature extraction, recognition and localization. Two prominent features of INTEGRA are: a synergetic combination of edge- and surface-based segmentation processes that results in more accurate segmentation than would have been possible with either of them alone; and the ability to correct errors made during segmentation in the matching and localization stages. At present, INTEGRA is capable of recognition and localization of polyhedral objects and objects that can be treated as piecewise combinations of curved surfaces of quadratic order, typically spherical, ellipsoidal, cylindrical and conical surfaces.<<ETX>>","PeriodicalId":410961,"journal":{"name":"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116141591","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: 4
Video recording and digital image processing in analyzing air flows 气流分析中的视频记录和数字图像处理
[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition Pub Date : 1992-08-30 DOI: 10.1109/ICPR.1992.201524
J. Heikkonen
{"title":"Video recording and digital image processing in analyzing air flows","authors":"J. Heikkonen","doi":"10.1109/ICPR.1992.201524","DOIUrl":"https://doi.org/10.1109/ICPR.1992.201524","url":null,"abstract":"A new method for analyzing air flows is proposed. This method is based on tracer gas technique, video recording and digital image processing. By assuming that the tracer gas cloud simulates the air movement one can recover the three-dimensional profile and the velocity field of an air flow by analyzing a picture sequence of a tracer gas cloud. All required stages and algorithms of this analyzing process are presented, including some experimental results.<<ETX>>","PeriodicalId":410961,"journal":{"name":"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition","volume":"439 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114208366","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
Model-based calibration of a range camera 基于模型的测距相机标定
[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition Pub Date : 1992-08-30 DOI: 10.1109/ICPR.1992.201532
J. Beraldin, M. Rioux, F. Blais, G. Godin, R. Baribeau
{"title":"Model-based calibration of a range camera","authors":"J. Beraldin, M. Rioux, F. Blais, G. Godin, R. Baribeau","doi":"10.1109/ICPR.1992.201532","DOIUrl":"https://doi.org/10.1109/ICPR.1992.201532","url":null,"abstract":"Introduces a new method for the calibration of a range camera based on active triangulation. The technique is based on a model derived from the geometry of the synchronized scanner. From known positions of a calibration bar, a logistic equation is fitted with values of spot positions read from a linear position detector at a number of angular positions of a scanning mirror. Furthermore, with an approximate form of the general equations describing the geometry, a series of design guidelines are derived to help a designer conduct a preliminary study of a particular range camera. Experimental results demonstrating the technique are found to compare favorably with theoretical predictions.<<ETX>>","PeriodicalId":410961,"journal":{"name":"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition","volume":"141 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127327091","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: 14
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