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

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Estimating optical flow from clustered trajectories in velocity-time 从速度-时间的聚类轨迹估计光流
[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition Pub Date : 1992-08-30 DOI: 10.1109/ICPR.1992.201544
R. Agarwal, J. Sklansky
{"title":"Estimating optical flow from clustered trajectories in velocity-time","authors":"R. Agarwal, J. Sklansky","doi":"10.1109/ICPR.1992.201544","DOIUrl":"https://doi.org/10.1109/ICPR.1992.201544","url":null,"abstract":"Presents a new algorithm for the estimation of optical flow from a monocular sequence of images using clustered trajectories in velocity-time. In the new algorithm, the objects in the scene may exhibit rotation and translation in all three dimensions. In addition, interframe displacement may be large-of the order of many pixels. It is assumed that there is a known upper bound on the magnitudes of the x and y components of interframe displacement. The authors conducted tests to compare the performance of the algorithm with that of two prior algorithms for optical flow estimation. They present the results of these tests. The results suggest that the algorithm is an improvement over prior algorithms in its ability to compute the optical flow field accurately under several commonly encountered scene conditions that have posed problems to earlier algorithms for optical flow estimation.<<ETX>>","PeriodicalId":410961,"journal":{"name":"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition","volume":"89 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114003387","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
Robust detection of facial features by generalized symmetry 基于广义对称的人脸特征鲁棒检测
[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition Pub Date : 1992-08-30 DOI: 10.1109/ICPR.1992.201521
D. Reisfeld, Y. Yeshurun
{"title":"Robust detection of facial features by generalized symmetry","authors":"D. Reisfeld, Y. Yeshurun","doi":"10.1109/ICPR.1992.201521","DOIUrl":"https://doi.org/10.1109/ICPR.1992.201521","url":null,"abstract":"Locating facial features is crucial for various face recognition schemes. The authors suggest a robust facial feature detector based on a generalized symmetry interest operator. No special tuning is required if the face occupies 15-60% of the image. The operator was tested on a large face data base with a success rate of over 95%.<<ETX>>","PeriodicalId":410961,"journal":{"name":"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition","volume":"62 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":"114813993","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: 162
Ground and airborne localization over rough terrain using random environmental range-measurements 使用随机环境距离测量在粗糙地形上的地面和空中定位
[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition Pub Date : 1992-08-30 DOI: 10.1109/ICPR.1992.201586
Y. Yacoob, L. Davis
{"title":"Ground and airborne localization over rough terrain using random environmental range-measurements","authors":"Y. Yacoob, L. Davis","doi":"10.1109/ICPR.1992.201586","DOIUrl":"https://doi.org/10.1109/ICPR.1992.201586","url":null,"abstract":"The authors propose an approach for autonomous localization of ground systems on natural terrain. The localization problem is solved using measurements including altitude, heading and distances to specific environmental points. The algorithm utilizes random acquisition of distance measurements to prune the possible location(s) of the viewer. The proposed approach is also applicable to airborne localization. Experiments on a 512*512 terrain are provided.<<ETX>>","PeriodicalId":410961,"journal":{"name":"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition","volume":"46 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":"134398790","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
Determining motion of nonrigid objects by active tubes 用有源管测定非刚性物体的运动
[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition Pub Date : 1992-08-30 DOI: 10.1109/ICPR.1992.201644
M. Takahata, Masakazu Imai, S. Tsuji
{"title":"Determining motion of nonrigid objects by active tubes","authors":"M. Takahata, Masakazu Imai, S. Tsuji","doi":"10.1109/ICPR.1992.201644","DOIUrl":"https://doi.org/10.1109/ICPR.1992.201644","url":null,"abstract":"Analysis of motion of nonrigid objects in image sequences is an important and difficult problem in computer vision. This paper presents a model named active tubes for this purpose. It analyzes the temporal context in a spatio-temporal solid using an energy minimizing model like the snakes model of M. Kass, A. Witkin and D. Terzopoulos (1988). Active tubes constitute accumulations of snakes along the time axis using the temporal context. An input image sequence should be handled as a single image solid. In spatio-temporal solids, a locus of the moving object constitutes a 3D region. This removes the problem of feature correspondence. The problem of extracting and tracking the motion of objects in an image sequence can be replaced by the problem of segmenting the spatio-temporal solid.<<ETX>>","PeriodicalId":410961,"journal":{"name":"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition","volume":"2 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":"126155419","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
Color stereo matching and its application to 3-D measurement of optic nerve head 彩色立体匹配及其在视神经头三维测量中的应用
[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition Pub Date : 1992-08-30 DOI: 10.1109/ICPR.1992.201611
M. Okutomi, O. Yoshizaki, G. Tomita
{"title":"Color stereo matching and its application to 3-D measurement of optic nerve head","authors":"M. Okutomi, O. Yoshizaki, G. Tomita","doi":"10.1109/ICPR.1992.201611","DOIUrl":"https://doi.org/10.1109/ICPR.1992.201611","url":null,"abstract":"Presents a color stereo matching method. The authors first show the effect of using color information in stereo matching mathematically by using sum-of-squared-differences (SSD) criterion and then experimentally by using synthesized images. They then present a color stereo matching algorithm for a medical application. The algorithm takes into account both the intensity and the disparity variations within the matching window, and estimates the disparity at subpixel resolution exploiting color stereo images. The authors have applied the algorithm to three-dimensional measurement of optic nerve heads using stereo fundus images. The experimental results shows that the proposed stereo algorithm together with various means of displaying the results could give useful information for diagnosing and monitoring glaucoma.<<ETX>>","PeriodicalId":410961,"journal":{"name":"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition","volume":"1 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":"128780661","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: 26
Navigation by optical flow 光流导航
[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition Pub Date : 1992-08-30 DOI: 10.1109/ICPR.1992.201657
E. Hagen, E. Heyerdahl
{"title":"Navigation by optical flow","authors":"E. Hagen, E. Heyerdahl","doi":"10.1109/ICPR.1992.201657","DOIUrl":"https://doi.org/10.1109/ICPR.1992.201657","url":null,"abstract":"A new navigation method based on measurements of image token positions and Kalman filtering is presented. An image token is the central projection of a landmark, a point on the terrain surface. This surface being described by a topographical map, the Kalman filter processes the measurements to update estimates of camera position and orientation, and landmark positions. Tests of an implementation for aeroplane navigation indicate a performance comparable to, or better than, that of satellite navigation systems. The implemented algorithm also seems to have a high tolerance against noise and modelling errors.<<ETX>>","PeriodicalId":410961,"journal":{"name":"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition","volume":"152 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":"128788195","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: 15
Finding landmarks autonomously along a route 沿着路线自动寻找地标
[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition Pub Date : 1992-08-30 DOI: 10.1109/ICPR.1992.201565
Shigang Li, S. Tsuji
{"title":"Finding landmarks autonomously along a route","authors":"Shigang Li, S. Tsuji","doi":"10.1109/ICPR.1992.201565","DOIUrl":"https://doi.org/10.1109/ICPR.1992.201565","url":null,"abstract":"A mobile robot memorizes scenes along a route by landmarks selected in a trial navigation and locates itself in the route based upon the memorized landmarks when the robot pursues the same route by itself. Since the stream of images observed continuously along the route is highly redundant, it is transformed into an intermediate 2(1/2)D representation, called panoramic representation with a much less amount of data. A structure map representing the object arrangement in space is then yielded in terms of 3D objects along the route found in the panoramic representation by fusing their range estimates and color attributes. By examining the spatial relationships, shapes and color attributes of the objects in the structure map, distinctive objects are selected as the landmarks. The route described by selected landmarks are recognized successfully, although the speed of camera motion and the illumination condition are changed considerably.<<ETX>>","PeriodicalId":410961,"journal":{"name":"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition","volume":"1 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":"130487825","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
Extraction of grid patterns on stamped metal sheets using mathematical morphology 用数学形态学提取冲压金属板上的网格图案
[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition Pub Date : 1992-08-30 DOI: 10.1109/ICPR.1992.201591
A. Tuzikov, P. Soille, D. Jeulin, H. Bruneel, M. Vermeulen
{"title":"Extraction of grid patterns on stamped metal sheets using mathematical morphology","authors":"A. Tuzikov, P. Soille, D. Jeulin, H. Bruneel, M. Vermeulen","doi":"10.1109/ICPR.1992.201591","DOIUrl":"https://doi.org/10.1109/ICPR.1992.201591","url":null,"abstract":"To validate models of sheet metal forming processes, experiments with sheets of metal marked with grids are performed. A method for measuring the deformed grid after processing is presented. It is based on morphological image processing and it requires four steps. A large top hat transformation is first applied to homogenize the grey level intensities of the background. The two main directions of the grid are then determined by calculating covariances. Linear filtering along the directions of the grid is used to extract a mask of the grid pattern. This mask is then skeletonized in order to extract the medial axis of the grid as well as its intersection points.<<ETX>>","PeriodicalId":410961,"journal":{"name":"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition","volume":"59 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":"124550211","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
Automatic vehicle image extraction based on spatio-temporal image analysis 基于时空图像分析的车辆图像自动提取
[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition Pub Date : 1992-08-30 DOI: 10.1109/ICPR.1992.201609
Tadashi Nakanishi, K. Ishii
{"title":"Automatic vehicle image extraction based on spatio-temporal image analysis","authors":"Tadashi Nakanishi, K. Ishii","doi":"10.1109/ICPR.1992.201609","DOIUrl":"https://doi.org/10.1109/ICPR.1992.201609","url":null,"abstract":"Presents a robust method for extracting images of laterally moving vehicles from ITV image sequences. The information of occlusion, velocity and length of the vehicle is first extracted from the spatio-temporal image, and the background image is updated periodically. Overlapping images of other vehicles are then removed from each scene and a subtraction image sequence is superimposed. The new method has the following characteristics: (1) one can separate and extract images of two crossing vehicles from a sequence of images. (2) the complete image of a large or complex vehicle can be successfully extracted under typical daylight variations. In order to test the applicability of the extracted images, the authors classify passenger car types. Experiments with real data confirm the effectiveness of the method.<<ETX>>","PeriodicalId":410961,"journal":{"name":"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition","volume":"1 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":"121489712","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: 43
Correction of line drawings for image segmentation in leather industry 皮革工业图像分割中线条图的校正
[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition Pub Date : 1992-08-30 DOI: 10.1109/ICPR.1992.201504
A. Lerch, D. Chetverikov
{"title":"Correction of line drawings for image segmentation in leather industry","authors":"A. Lerch, D. Chetverikov","doi":"10.1109/ICPR.1992.201504","DOIUrl":"https://doi.org/10.1109/ICPR.1992.201504","url":null,"abstract":"Gives a brief description of the operation principles of LeaVis, a prototype industrial machine vision system aimed at processing and segmentation of the images of hides marked by lines and other symbols that show defects and areas of different quality. A key feature of the vision system is its ability to correct line drawings by connecting broken lines and bridging gaps in line junctions. The goal of LeaVis is to provide a coherent visual input for a computer aided layout design system that creates trajectory descriptions by which the knife cutting the hides is controlled. The authors discuss the basic motivations of the vision system design, and present the ideas behind its core algorithms.<<ETX>>","PeriodicalId":410961,"journal":{"name":"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition","volume":"40 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":"123965553","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
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