CVGIP: Image Understanding最新文献_第9页

Volumetric Segmentation of Range Images of 3D Objects Using Superquadric Models 基于超二次模型的三维物体距离图像的体积分割

CVGIP: Image Understanding Pub Date : 1993-11-01 DOI: 10.1006/ciun.1993.1044

Gupta A., Bajcsy R.

{"title":"Volumetric Segmentation of Range Images of 3D Objects Using Superquadric Models","authors":"Gupta A., Bajcsy R.","doi":"10.1006/ciun.1993.1044","DOIUrl":"10.1006/ciun.1993.1044","url":null,"abstract":"<div><p>The problem of part definition, description, and decomposition is central to the shape recognition systems. We present a geometric model-driven framework for segmenting dense range data of complex 3D objects into their constituent parts in terms of surface (biquadrics) and volumetric (superquadrics) primitives, without a priori domain knowledge or stored models. Surface segmentation uses a novel local-to-global iterative regression approach of searching for the best piecewise biquadric description of the data. The region adjacency information, surface discontinuities, and global shape properties are extracted from biquadrics to guide the volumetric segmentation. Superquadric models are recovered by a global-to-local residual-driven procedure, which recursively segments the scene to derive the part-structure. A set of acceptance criteria provide the objective evaluation of intermediate descriptions and decide whether to terminate the procedure, or selectively refine the segmentation. The control module generates hypotheses about superquadric models at clusters of underestimated data and performs controlled extrapolation of part-models by shrinking the global model. Results are presented for real range images of varying complexity, including objects with occluding parts, and scenes where surface segmentation is not sufficient to guide the volumetric segmentation.</p></div>","PeriodicalId":100350,"journal":{"name":"CVGIP: Image Understanding","volume":"58 3","pages":"Pages 302-326"},"PeriodicalIF":0.0,"publicationDate":"1993-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1006/ciun.1993.1044","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"51092052","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 88

Computing Spatiotemporal Relations for Dynamic Perceptual Organization 动态感知组织的时空关系计算

CVGIP: Image Understanding Pub Date : 1993-11-01 DOI: 10.1006/ciun.1993.1046

Allmen M., Dyer C.R.

引用次数: 27

Identifying salient circular arcs on curves 识别曲线上显著的圆弧

CVGIP: Image Understanding Pub Date : 1993-11-01 DOI: 10.1006/CIUN.1993.1045

E. Saund

引用次数: 26

Congruence conditions for nonplanar developable surfaces and their application to surface recognition 非平面可展曲面的同余条件及其在曲面识别中的应用

CVGIP: Image Understanding Pub Date : 1993-11-01 DOI: 10.1006/CIUN.1993.1042

H. Q. Lu, J. Todhunter, T. Sze

引用次数: 36

Sufficient Conditions for Double or Unique Solution of Motion and Structure 运动与结构双解或唯一解的充分条件

CVGIP: Image Understanding Pub Date : 1993-09-01 DOI: 10.1006/ciun.1993.1036

Hu X.P., Ahuja N.

{"title":"Sufficient Conditions for Double or Unique Solution of Motion and Structure","authors":"Hu X.P., Ahuja N.","doi":"10.1006/ciun.1993.1036","DOIUrl":"https://doi.org/10.1006/ciun.1993.1036","url":null,"abstract":"<div><p>This paper presents several sufficient conditions for a double or unique solution of the problem of motion and structure estimation of a rigid surface from pairs of monocular images. These conditions further the understanding of the uniqueness problem of rigid motion solution. We will show that five correspondences of noncolinear points that do not lie on a special type of quadratic curve, called a Maybank curve, in the image plane suffice to determine a pure rotation uniquely, and six correspondences of points that do not correspond to space points lying on a Maybank quadric suffice to determine a motion with nonzero translation uniquely. We will show that each Maybank quadric can sustain at most two physically acceptable motion solutions and surface interpretations, provided that a sufficient number of correspondences are present. In particular, we will show that in the plane motion case, six correspondences of points that do not lie on a quadratic curve in the image plane will admit only the true motion and structure and their duals as solutions. We will discuss how noise affects the uniqueness of solution and present a nonlinear algorithm for estimation of motion parameters. We will list several properties of the essential matrix <strong>T</strong> × <strong>R</strong> and the plane motion matrix <strong>R</strong> + <strong>TN</strong><sup><strong>τ</strong></sup>, both of which are frequently used in the motion and structure estimation problem. Simulation results are provided for verifying the theorems in this paper.</p></div>","PeriodicalId":100350,"journal":{"name":"CVGIP: Image Understanding","volume":"58 2","pages":"Pages 161-176"},"PeriodicalIF":0.0,"publicationDate":"1993-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1006/ciun.1993.1036","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136714369","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 Classification of Quadric Surfaces 基于模型的二次曲面分类

CVGIP: Image Understanding Pub Date : 1993-09-01 DOI: 10.1006/ciun.1993.1040

Newman T.S., Flynn P.J., Jain A.K.

{"title":"Model-Based Classification of Quadric Surfaces","authors":"Newman T.S., Flynn P.J., Jain A.K.","doi":"10.1006/ciun.1993.1040","DOIUrl":"10.1006/ciun.1993.1040","url":null,"abstract":"<div><p>Model-based 3D object recognition systems using range imagery typically employ entirely data-driven procedures for segmentation and surface classification. However, some recognition environments may contain only objects whose surface types and parameters are known a priori and can therefore be exploited by the early-processing steps used in the recognition system. We propose a new suite of <em>model-driven</em> techniques for identification of quadric surfaces (cones, cylinders, and spheres) in segmented range imagery. The methods employ surface positions and surface normal estimates in combination with the known parameters of surfaces in a database of object models. Second-derivative quantities (i.e., surface curvatures) are not used. The free parameters of cylinders and spheres are accumulated using a Hough transform, and free parameters of cones are estimated using a regression procedure. Experiments are presented for numerous scenes of both real and synthetic objects including part jumbles, objects in many poses, objects containing concave and convex surfaces, and noiseless and noisy synthetic range images of objects. Our experimental results show that the proposed surface classification methods can accurately recover surface parameters from both synthetic and real images, making them viable for environments with partial knowledge of surface type and parameters.</p></div>","PeriodicalId":100350,"journal":{"name":"CVGIP: Image Understanding","volume":"58 2","pages":"Pages 235-249"},"PeriodicalIF":0.0,"publicationDate":"1993-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1006/ciun.1993.1040","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82839244","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: 46

Which Hough Transform? 哪种霍夫变换?

CVGIP: Image Understanding Pub Date : 1993-09-01 DOI: 10.1006/ciun.1993.1041

Leavers V.F.

{"title":"Which Hough Transform?","authors":"Leavers V.F.","doi":"10.1006/ciun.1993.1041","DOIUrl":"10.1006/ciun.1993.1041","url":null,"abstract":"<div><p>The Hough transform is recognized as being a powerful tool in shape analysis which gives good results even in the presence of noise and occlusion. Major shortcomings of the technique are excessive storage requirements and computational complexity. Solutions to these problems form the bulk of contributions to the literature concerning the Hough transform. An excellent comprehensive review of available methods up to and partially including 1988 is given by Illingworth and Kittler (<em>Comput. Vision Graphics Image Process</em>. 44, 1988, 87-116). In the years following this survey much new literature has been published. The present work offers an update on state of the art Hough techniques. This includes comparative studies of existing techniques, new perspectives on the theory, very many novel algorithms, parallel implementations, and additions to the task-specific hardware. Care is taken to distinguish between research that aims to further basic understanding of the technique without necessarily being computationally realistic and research that may be applicable in an industrial context. A new trend in Hough transform work, that of the probabilistic Houghs, is identified and reviewed in some detail. Attempts to link the low level perceptive processing offered by the Hough transform to high level knowledge driven processing are also included, together with the many recent successful applications appearing in the literature.</p></div>","PeriodicalId":100350,"journal":{"name":"CVGIP: Image Understanding","volume":"58 2","pages":"Pages 250-264"},"PeriodicalIF":0.0,"publicationDate":"1993-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1006/ciun.1993.1041","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80971524","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: 381

Intensity and Edge-Based Symmetry Detection with an Application to Car-Following 基于强度和边缘的对称性检测在汽车跟踪中的应用

CVGIP: Image Understanding Pub Date : 1993-09-01 DOI: 10.1006/ciun.1993.1037

Zielke T., Brauckmann M., Vonseelen W.

引用次数: 197

Velocity-Based Correspondence in Stereokinetic Images 立体动力学图像中基于速度的对应

CVGIP: Image Understanding Pub Date : 1993-09-01 DOI: 10.1006/ciun.1993.1034

Cornilleauperes V., Droulez J.

{"title":"Velocity-Based Correspondence in Stereokinetic Images","authors":"Cornilleauperes V., Droulez J.","doi":"10.1006/ciun.1993.1034","DOIUrl":"10.1006/ciun.1993.1034","url":null,"abstract":"<div><p>This paper explores the possibility of using the binocular optic flow as an input for the correspondence process between stereoscopic images. The main advantage of the stereocorrespondence from optic flow (SCOF) is that it does not require the use of any a priori hypothesis concerning the 3D object under analysis. In order to determine its performance relative to noisy data, we applied an algorithm of SCOF on different rigid surfaces undertaking various 3D motions. We found that when SCOF is possible it is rather robust to noise. Moreover, the study of its domain of optimal efficiency shows that SCOF is likely to cooperate well with static stereopsis or structure from motion algorithms, thereby strengthening the processing of dynamic stereo images. As far as human vision is concerned, our psychophysical results indicate that a SCOF process does not seem to be used in the perception of 3D structure. This could be accounted for by the poor contribution of convergence signals to the perception of absolute depth in human vision, which seems incompatible with the precise knowledge of the geometry of the viewing system required by the SCOF.</p></div>","PeriodicalId":100350,"journal":{"name":"CVGIP: Image Understanding","volume":"58 2","pages":"Pages 137-146"},"PeriodicalIF":0.0,"publicationDate":"1993-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1006/ciun.1993.1034","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83557959","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

An Image Algebra for Pictorial Data Manipulation 用于图像数据处理的图像代数

CVGIP: Image Understanding Pub Date : 1993-09-01 DOI: 10.1006/ciun.1993.1035

Jungert E., Chang S.K.

引用次数: 24