Result: Appearance-guided Synthesis of Element Arrangements by Example

Title:
Appearance-guided Synthesis of Element Arrangements by Example
Authors:
Hurtut, Thomas, Landes, Pierre-Edouard, Thollot, Joëlle, Gousseau, Yann, Drouilhet, Rémy, Coeurjolly, Jean-François
Contributors:
Acquisition, representation and transformations for image synthesis (ARTIS), Centre Inria de l'Université Grenoble Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire Jean Kuntzmann (LJK), Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Centre National de la Recherche Scientifique (CNRS), Laboratoire Traitement et Communication de l'Information (LTCI), Télécom ParisTech-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS), Statistique Appliquée et de Géométrie Aléatoire de Grenoble (SAGAG), Laboratoire Jean Kuntzmann (LJK)
Source:
NPAR 2009 - 7th International Symposium on Non-Photorealistic Animation and Rendering. :51-60
Publisher Information:
CCSD; ACM, 2009.
Publication Year:
2009
Collection:
collection:UGA
collection:CNRS
collection:INRIA
collection:UNIV-GRENOBLE1
collection:UNIV-PMF_GRENOBLE
collection:ENST
collection:INPG
collection:INRIA-RHA
collection:TELECOM-PARISTECH
collection:PARISTECH
collection:INRIA_TEST
collection:LJK
collection:LJK_GI
collection:LJK_PS
collection:LJK_GI_ARTIS
collection:LJK_PS_SAGAG
collection:TESTALAIN1
collection:UGA-TEST-QUATER
collection:INRIA2
collection:INRIA-RENGRE
collection:LTCI
collection:IDS
collection:IMAGES
collection:INSTITUTS-TELECOM
collection:INSTITUT-MINES-TELECOM
collection:TEST-UGA
Subject Terms:
NPR, by-example synthesis, Vector texture synthesis, ACM: I.: Computing Methodologies, I.3: COMPUTER GRAPHICS, I.3.7: Three-Dimensional Graphics and Realism, I.3.7.1: Color, shading, shadowing, and texture, ACM: F.: Theory of Computation, F.2: ANALYSIS OF ALGORITHMS AND PROBLEM COMPLEXITY, F.2.2: Nonnumerical Algorithms and Problems, F.2.2.2: Geometrical problems and computations, I.3.5: Computational Geometry and Object Modeling, [INFO.INFO-GR]Computer Science [cs], Graphics [cs.GR]
Subject Geographic:
New Orleans, LA, United States
Original Identifier:
HAL:
Document Type:
Conference conferenceObject<br />Conference papers
Language:
English
Relation:
info:eu-repo/semantics/altIdentifier/doi/10.1145/1572614.1572623
DOI:
10.1145/1572614.1572623
Access URL:
https://inria.hal.science/inria-00391649
https://inria.hal.science/inria-00391649v2/document
https://inria.hal.science/inria-00391649v2/file/npar2009.pdf
Rights:
info:eu-repo/semantics/OpenAccess
Accession Number:
edshal.inria.00391649v2
Database:
HAL

Further Information

Paper session: Emulating the masters
We present a technique for the analysis and re-synthesis of 2D arrangements of stroke-based vector elements. The capture of an artist's style by the sole posterior analysis of his/her achieved drawing poses a formidable challenge. Such by-example techniques could become one of the most intuitive tools for users to alleviate creation process efforts. Here, we propose to tackle this issue from a statistical point of view and take specific care of accounting for information usually overlooked in previous research, namely the elements' very appearance. Composed of curve-like strokes, we describe elements by a concise set of perceptually relevant features. After detecting appearance dominant traits, we can generate new arrangements that respect the captured appearance-related spatial statistics using multitype point processes. Our method faithfully reproduces visually similar arrangements and relies on neither heuristics nor post-processes to ensure statistical correctness.