RAMAMOORTHI, R., AND ARVO, J. 1999. Creating generative models from range images. In Proceedings of SIGGRAPH '99,ACM Press/Addison-Wesley Publishing Co., 195--204. Home/Search Document Details and Download
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Computing and Rendering Point Set Surfaces - Alexa, Behr, Cohen-Or.. (2002) (15 citations) (Correct)
.... is a non trivial task, Krishnamurthy and Levoy [28] have proposed a semi automatic technique for fitting smooth surfaces to dense polygon meshes created by Curless and Levoy [12] Another form of surface fitting algorithms couples some form of high level model recognition with a fitting process [44]. The process of sampling (or resampling) surfaces has been studied in different settings. For instance, surface simplification algorithms [9] sample surfaces in different ways to optimize rendering performance. Related to our work are algorithms which use particle systems for sampling surfaces. ....
R. Ramamoorthi and J. Arvo. Creating generative models from range images. Proceedings of SIGGRAPH 99, pages 195--204, August 1999.
Point Set Surfaces - Alexa, Behr, Cohen-Or, Fleishman.. (2001) (39 citations) (Correct)
.... is a non trivial task, Krishnamurthy and Levoy [22] have proposed a semi automatic technique for fitting smooth surfaces to dense polygon meshes created by Curless and Levoy [9] Another form of surface fitting algorithms couples some form of high level model recognition with a fitting process [35]. The process of sampling (or resampling) surfaces has been studied in different settings. For instance, surface simplification algorithms [7] sample surfaces in different ways to optimize rendering performance. Related to our work are algorithms which use particle systems for sampling surfaces. ....
R. Ramamoorthi and J. Arvo. Creating generative models from range images. Proceedings of SIGGRAPH 99, pages 195--204, August 1999.
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....produced, as well as a significant part of the outer shell. 3 Level Set Surface Models When considering deformable models for segmenting 3D volume data, one is faced with a choice from a variety of surface representations, including triangle meshes [15, 30] superquadrics [18] and many others [14, 16, 19, 23, 24]. Another option is an implicit, level set model, i.e. specifying the surface as a level set of a scalar volumetric function, OE : U 7 IR, where U ae IR 3 is the range of the surface model. Thus, a surface S is S = fsjOE(s) kg # (1) and the choice of the isovalue, k, is arbitrary. In ....
R. Ramamoorthi and J. Arvo. Creating generative models from range images. In SIGGRAPH '99 Proceedings, pages 195--204, August 1999.
A Framework for Level Set Segmentation of Volume Datasets - Whitaker, Breen, Museth.. (2001) (Correct)
....as well as a significant part of the outer shell. 3 Level Set Surface Models When considering deformable models for segmenting 3D volume data, one is faced with a choice from a variety of surface representations, including triangle meshes [20, 21] superquadrics [22, 23, 24] and many others [18, 25, 26, 27, 28, 29, 30]. Another option is an implicit level set model, i.e. specifying the surface as a level set of a scalar volumetric function, # : U ## IR, where U # IR 3 is the range of the surface model. Thus, a surface S is S # #s###s##k# # (1) and the choice of the isovalue, k, is arbitrary. In other ....
R. Ramamoorthi and J. Arvo, "Creating generative models from range images," in SIGGRAPH '99 Proceedings, pp. 195--204, August 1999.
Reconstruction of Pipe and Canal Surfaces Using the Shrinking Method - Lee (1999) (Correct)
....a pro le (cross section) curve and a kinematic motion that de nes a trajectory of the moving pro le curve. This procedural description of a geometric model has many advantages: the reduction of the size of the object database and easy design manipulation processes. Recently, Ramamoorthi and Arvo [8] suggested a system to reconstruct various kinds of generative models, including pipe and canal surfaces, from point clouds with the aid of a prede ned user speci ed hierarchy of the various generative models. Unlike their work, we narrow down our interest to reconstruct pipe or canal surfaces ....
R. Ramamoorthi and J. Arvo. Creating generative models from range images. SIGGRAPH '99 proceedings, 1999.
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RAMAMOORTHI, R., AND ARVO, J. 1999. Creating generative models from range images. In Proceedings of SIGGRAPH '99,ACM Press/Addison-Wesley Publishing Co., 195--204.
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Ravi Ramamoorthi and James Arvo. Creating generative models from range images. Proceedings of SIGGRAPH 99, pages 195--204, August 1999. ISBN 0-20148-560-5. Held in Los Angeles, California.
Level Set Segmentation From Multiple Non-Uniform Volume Datasets - Ken Museth David (2002) (1 citation) (Correct)
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R. Ramamoorthi and J. Arvo. Creating generative models from range images. In SIGGRAPH '99 Proceedings, pages 195--204, August 1999.
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