Search results for "I.3.5"

showing 6 items of 6 documents

Nuovi derivati 3,5-diaril-4,5-diidropirazolici come inibitori di HSP90

2008

HSP90 derivati 35-diaril-45-diidropirazoliciSettore CHIM/08 - Chimica Farmaceutica
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CCDC 178064: Experimental Crystal Structure Determination

2002

Related Article: M.Zaidlewicz, W.Sokol, A.Wojtczak, P.Neumann, M.Nissinen|2002|Tetrahedron Lett.|43|3525|doi:10.1016/S0040-4039(02)00587-7

Space GroupCrystallographyCrystal SystemCrystal StructureCell Parametersanti-35-Dimethyl-6-(alpha-hydroxybenzyl)cyclohex-2-enoneExperimental 3D Coordinates
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From A Medial Surface To A Mesh

2012

Medial surfaces are well-known and interesting surface skeletons. As such, they can describe the topology and the geometry of a 3D closed object. The link between an object and its medial surface is also intuitively understood by people. We want to exploit such skeletons to use them in applications like shape creation and shape deformation. For this purpose, we need to define medial surfaces as Shape Representation Models (SRMs). One of the very first task of a SRM is to offer a visualization of the shape it describes. However, achieving this with a medial surface remains a challenging problem. In this paper, we propose a method to build a mesh that approximates an object only described by …

Surface (mathematics)Computer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONBoundary (topology)02 engineering and technology[INFO.INFO-CG]Computer Science [cs]/Computational Geometry [cs.CG]OctreeI.3.6 I.3.5Octree0202 electrical engineering electronic engineering information engineeringMedial SurfaceShape Representation ModelsComputer visionRepresentation (mathematics)SkeletonComputingMethodologies_COMPUTERGRAPHICSDeformation (mechanics)business.industry020207 software engineeringLink (geometry)[ INFO.INFO-GR ] Computer Science [cs]/Graphics [cs.GR]Object (computer science)Computer Graphics and Computer-Aided Design[INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR]Visualization[ INFO.INFO-CG ] Computer Science [cs]/Computational Geometry [cs.CG]020201 artificial intelligence & image processingArtificial intelligencebusiness
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Mesh connectivity compression using convection reconstruction

2007

International audience; During a highly productive period running from 1995 to about 2002, the research in lossless compression of 3D meshes mainly consisted in a hard battle for the best bitrates. But for a few years, compression rates seem stabilized around 1.5 bit per vertex for the connectivity coding of usual meshes, and more and more work is dedicated to remeshing, lossy compression, or gigantic mesh compression, where memory and CPU optimizations are the new priority. However, the size of 3D models keeps growing, and many application fields keep requiring lossless compression. In this paper, we present a new contribution for single-rate lossless connectivity compression, which first …

Theoretical computer scienceTexture compressionLossless[ MATH.MATH-IT ] Mathematics [math]/Information Theory [math.IT]02 engineering and technologyLossy compression[INFO.INFO-CG]Computer Science [cs]/Computational Geometry [cs.CG][MATH.MATH-IT] Mathematics [math]/Information Theory [math.IT][ INFO.INFO-IT ] Computer Science [cs]/Information Theory [cs.IT]I.3.5 [Computing Methodologies]: Computer Graphics--Computational Geometry and Object Modeling0202 electrical engineering electronic engineering information engineeringPolygon meshComputingMethodologies_COMPUTERGRAPHICSMathematicsMeshConnected componentLossless compressionConnectivityDelaunay triangulationCompression[MATH.MATH-IT]Mathematics [math]/Information Theory [math.IT]020207 software engineering[INFO.INFO-CG] Computer Science [cs]/Computational Geometry [cs.CG][INFO.INFO-IT]Computer Science [cs]/Information Theory [cs.IT][ INFO.INFO-CG ] Computer Science [cs]/Computational Geometry [cs.CG]020201 artificial intelligence & image processing[INFO.INFO-IT] Computer Science [cs]/Information Theory [cs.IT]ReconstructionAlgorithmImage compressionData compressionProceedings of the 2007 ACM symposium on Solid and physical modeling
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Modélisation géométrique de formes fractales pour la CAO

2020

International audience

[INFO.INFO-CG] Computer Science [cs]/Computational Geometry [cs.CG][MATH.MATH-GT]Mathematics [math]/Geometric Topology [math.GT][MATH.MATH-DS]Mathematics [math]/Dynamical Systems [math.DS][INFO.INFO-GR] Computer Science [cs]/Graphics [cs.GR]ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS/I.3.5: Computational Geometry and Object Modeling[MATH.MATH-DS] Mathematics [math]/Dynamical Systems [math.DS][INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation[INFO.INFO-CG]Computer Science [cs]/Computational Geometry [cs.CG][INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationComputingMilieux_MISCELLANEOUS[INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR][MATH.MATH-GT] Mathematics [math]/Geometric Topology [math.GT]
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SHREC'12 Track: 3D mesh segmentation

2012

International audience; 3D mesh segmentation is a fundamental process in many applications such as shape retrieval, compression, deformation, etc. The objective of this track is to evaluate the performance of recent segmentation methods using a ground-truth corpus and an accurate similarity metric. The ground-truth corpus is composed of 28 watertight models, grouped in five classes (animal, furniture, hand, human and bust) and each associated with 4 ground-truth segmentations done by human subjects. 3 research groups have participated to this track, the accuracy of their segmentation algorithms have been evaluated and compared with 4 other state-of-the-art methods.

benchmarkcontestSHRECI.3.5 I2.103D-meshsegmentation[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]
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