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

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Determining location and orientation of a labelled cylinder using point-pair estimation algorithm 使用点对估计算法确定标记圆柱体的位置和方向
[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition Pub Date : 1994-02-01 DOI: 10.1109/ICPR.1992.201574
Jiann-Der Lee, Jau-Yien Lee, Y. You, C. Chen
{"title":"Determining location and orientation of a labelled cylinder using point-pair estimation algorithm","authors":"Jiann-Der Lee, Jau-Yien Lee, Y. You, C. Chen","doi":"10.1109/ICPR.1992.201574","DOIUrl":"https://doi.org/10.1109/ICPR.1992.201574","url":null,"abstract":"A feasible approach is proposed to determine the 3D location and orientation of a cylinder with a label stuck on it at a known height. The proposed approach uses a rectangle-shaped standard mark composed of two point-pairs for performing monocular image analysis. A monocular image of a labelled cylinder is first taken. Image processing and numerical analysis techniques are then used to select two point-pairs located on the boundary of the visible part of the cylindrical label. According to 3D imaging geometry, the location and orientation of the cylinder relative to the camera are uniquely determined by using 3D vector analysis and simple algebraic computation. Owing to the full linearity of the derivation, this approach can perform at high speed.<<ETX>>","PeriodicalId":410961,"journal":{"name":"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128321073","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: 17
An image understanding system aiming at analysis of biological membrane behavior 一个针对生物膜行为分析的图像理解系统
[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition Pub Date : 1992-08-30 DOI: 10.1109/ICPR.1992.201537
Boiko M. Balev
{"title":"An image understanding system aiming at analysis of biological membrane behavior","authors":"Boiko M. Balev","doi":"10.1109/ICPR.1992.201537","DOIUrl":"https://doi.org/10.1109/ICPR.1992.201537","url":null,"abstract":"The ISIA system is a domain oriented model-based tool for vision tasks in membrane biophysics. Prediction and recognition of images are based on a hierarchical model graph of concepts. The concepts contain a structural description of objects and also knowledge about how each object can be recognized. Interpretation of 2D image sequences from two experiments are presented.<<ETX>>","PeriodicalId":410961,"journal":{"name":"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition","volume":"15 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":"115345539","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: 2
Associating an image by network constraint analysis 通过网络约束分析关联图像
[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition Pub Date : 1992-08-30 DOI: 10.1109/ICPR.1992.201664
S. Ishikawa, Kiyoshi Kato
{"title":"Associating an image by network constraint analysis","authors":"S. Ishikawa, Kiyoshi Kato","doi":"10.1109/ICPR.1992.201664","DOIUrl":"https://doi.org/10.1109/ICPR.1992.201664","url":null,"abstract":"A technique for associating an image is described in terms of the network constraint analysis. Pixels and their gray-values are called units and labels, respectively, and a set of n pixels called the unit constraint set T provides the unit-label constraint set R for memorized images. Given an incomplete image X which can have occlusion, noise, distortion, etc., R receives screening by X to yield the reduced set R* (R* contained in R), since the elements of X constrain the elements in R. A depth first search is then applied to the elements of R* to obtain consistent solutions, if any, which are associated images. The proposed technique is free from the interference among memorized images which other association techniques suffer from. An iterative technique is also proposed for speeding up the depth first search. Performance of the proposed association technique is shown by the experiment employing 26 alphabetical letters.<<ETX>>","PeriodicalId":410961,"journal":{"name":"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition","volume":"120 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":"121821679","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
3D models from contours: further identification of unexposed areas 基于轮廓的3D模型:进一步识别未暴露区域
[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition Pub Date : 1992-08-30 DOI: 10.1109/ICPR.1992.201573
J. Zheng, F. Kishino
{"title":"3D models from contours: further identification of unexposed areas","authors":"J. Zheng, F. Kishino","doi":"10.1109/ICPR.1992.201573","DOIUrl":"https://doi.org/10.1109/ICPR.1992.201573","url":null,"abstract":"This paper explores a shape-from-contour method for acquiring a 3D model by using a continuous sequence of images taken as an object rotates. The authors analyze the areas that are unexposed to contours and detect them for further investigation. They describe a general approach to use the shape from contours. The goal is to establish a 3D model of the human face for the growing needs of visual communications. Some good results have been obtained.<<ETX>>","PeriodicalId":410961,"journal":{"name":"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition","volume":"15 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":"121011207","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: 11
A new method for recognizing and locating objects by searching longest paths 一种基于最长路径搜索的目标识别与定位新方法
[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition Pub Date : 1992-08-30 DOI: 10.1109/ICPR.1992.201596
Fatia Boussofiane, Gilles Bertrand
{"title":"A new method for recognizing and locating objects by searching longest paths","authors":"Fatia Boussofiane, Gilles Bertrand","doi":"10.1109/ICPR.1992.201596","DOIUrl":"https://doi.org/10.1109/ICPR.1992.201596","url":null,"abstract":"Presents a new method for recognizing and locating an object in an image. The contours of the shapes are described by line segments. The basic idea consists in generating paths in a table where the columns represent the model segments and the rows the scene segments. Each path represents a matching between a part of the model contour and a part of the scene contour. The longest path is considered as the best match.<<ETX>>","PeriodicalId":410961,"journal":{"name":"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition","volume":"22 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":"124984424","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
Near-automatic detection of arrow-shaped markers for CT/MRI fusion 近自动检测CT/MRI融合的箭头状标记
[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition Pub Date : 1992-08-30 DOI: 10.1109/ICPR.1992.201670
P. Elsen, Loek van 't Zelfde, M. Viergever
{"title":"Near-automatic detection of arrow-shaped markers for CT/MRI fusion","authors":"P. Elsen, Loek van 't Zelfde, M. Viergever","doi":"10.1109/ICPR.1992.201670","DOIUrl":"https://doi.org/10.1109/ICPR.1992.201670","url":null,"abstract":"An algorithm is presented to detect arrow-shaped skin markers that have been designed for matching of CT and MR images. The markers can be located in the images with subslice accuracy, which allows accurate registration even in standard imaging protocols employing thick slices and/or large interslice gaps. In the past, extracting the marker information from the images has been a highly interactive process. The algorithm described only requires a minimal amount of user interaction.<<ETX>>","PeriodicalId":410961,"journal":{"name":"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition","volume":"17 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":"126119371","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
Sensibility, relative error and error probability of projective invariants of planar surfaces of 3D objects 三维物体平面投影不变量的敏感性、相对误差和误差概率
[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition Pub Date : 1992-08-30 DOI: 10.1109/ICPR.1992.201568
A. Sanfeliu, Á. Llorens, W. Emde
{"title":"Sensibility, relative error and error probability of projective invariants of planar surfaces of 3D objects","authors":"A. Sanfeliu, Á. Llorens, W. Emde","doi":"10.1109/ICPR.1992.201568","DOIUrl":"https://doi.org/10.1109/ICPR.1992.201568","url":null,"abstract":"Presents the study of the sensibility, relative error and error probability of projective invariants of planar objects. The study is applied to configurations of groups of five points which define a planar object. The results are general for any type of projective invariant. The paper shows that given the precision (or tolerance) and the maximum allowed error probability, the sensibility and relative error can be used to decide the correct configurations for the matching procedure between the model and the projective view of a physical object. The last result is general for any type of geometric invariant.<<ETX>>","PeriodicalId":410961,"journal":{"name":"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition","volume":"77 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":"125531501","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
Object recognition by a robotic agent: the purposive approach 机器人代理的对象识别:目的性方法
[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition Pub Date : 1992-08-30 DOI: 10.1109/ICPR.1992.201660
E. Rivlin, Y. Aloimonos, A. Rosenfeld
{"title":"Object recognition by a robotic agent: the purposive approach","authors":"E. Rivlin, Y. Aloimonos, A. Rosenfeld","doi":"10.1109/ICPR.1992.201660","DOIUrl":"https://doi.org/10.1109/ICPR.1992.201660","url":null,"abstract":"Studies the problem of object recognition by considering it in the context of an agent operating in an environment, where the agent's intentions translate into a set of behaviors. In this context, an object can fulfil a function; if the agent recognizes this, it has in effect recognized the object. To perform this type of recognition one needs on one hand a definition of the desired function, and on the other the means of determining whether the object can fulfil that function. To illustrate this approach the authors describe the visual recognition abilities that might be needed by an autonomous cleaning robot.<<ETX>>","PeriodicalId":410961,"journal":{"name":"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition","volume":"53 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":"116124364","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: 2
The sigma -tree-a symbolic spatial data model 符号空间数据模型sigma -tree
[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition Pub Date : 1992-08-30 DOI: 10.1109/ICPR.1992.201600
E. Jungert, Shi-Kuo Chang
{"title":"The sigma -tree-a symbolic spatial data model","authors":"E. Jungert, Shi-Kuo Chang","doi":"10.1109/ICPR.1992.201600","DOIUrl":"https://doi.org/10.1109/ICPR.1992.201600","url":null,"abstract":"Spatial data models, in two and three dimensions, are especially important means for logical descriptions of images. Such models are necessary for both spatial reasoning and iconic indexing. A three dimensional hierarchical spatial data model designed for spatial reasoning is described in this paper. The model is built up from various types of building blocks of which the clusters are the most general. A significant feature is different views of the model which are means to support the reasoning process. Another feature supported by the model is the generation of 2D projections from the 3D structure. Methods for spatial reasoning by means of the model are discussed.<<ETX>>","PeriodicalId":410961,"journal":{"name":"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition","volume":"32 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":"122517251","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
Object recognition and pose estimation with a fast and versatile 3D robot sensor 基于快速多功能3D机器人传感器的目标识别与姿态估计
[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition Pub Date : 1992-08-30 DOI: 10.1109/ICPR.1992.201653
T. Stahs, F. Wahl
{"title":"Object recognition and pose estimation with a fast and versatile 3D robot sensor","authors":"T. Stahs, F. Wahl","doi":"10.1109/ICPR.1992.201653","DOIUrl":"https://doi.org/10.1109/ICPR.1992.201653","url":null,"abstract":"Presents a new approach to object recognition and pose estimation based on a 3D robot sensor, which produces range images of a scene along problem specific lines of sight. Recognition is realized as a hypothesis generation/hypothesis verification process. Hypothesis generation is based on a minimal number of predominant and connected object parts in one or more range images determining all 6 degrees of freedom of an objects pose. This set of object parts is transformed into a hypotheses set by simple look-up operations in precalculated hash tables. In the subsequent verification step the authors determine an inspection list for the best recognizable, most distinctive and best visible object parts in this hypotheses set and verify the hypotheses by searching these object parts in existing or new range images.<<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":"130584670","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: 9
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