Table of Content. Visual reconstruction of archaeological data of the Sanctuary of Diana at Nemi, Italy 10/12/2014. motivation, challenges

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1 Visual reconstruction of archaeological data of the Sanctuary of Diana at Nemi, Italy Mariana Danielová Master thesis Supervisors: Dr. -Ing. Holger Kumke Dipl. -Ing. Stefan Peters Cooperation: Dr. Francesca Diosono 10 th October 2014 Table of Content motivation, challenges recent studies archaeological data visual reconstruction 3D modeling handling the uncertainty results discussion conclusion 1

2 Motivation, challenges 3D reconstruction of the Sanctuary of Diana at Nemi, Italy procedural modeling (CityEngine) visualizing the uncertainty Fuzzy logic consistency with the required principles London Charter Seville Charter Procedural modeling shape grammar called CGA shape (computer generated architecture) iteratively evolving a model by adding more and more details CityEngine by ESRI London Charter & Seville Charter principles for virtual reality of cultural heritage (LC) archaeology (SC) uncertainty, photo-realism, documentation, 2

3 Recent studies (Maïm et al., 2007) (Müller et al., 2006) (Van Gool et al., 2013) (Sifniotis, 2012) Archaeological data Sanctuary of Diana at Nemi in Italy GoogleMaps 3

4 Archaeological data TUM research group SHP files, pictures archaeologist Francesca Diosono CAD files, oral and conversation literature sources Vitruvius Pollio: The Ten Books on Architecture (30 BC) Visual reconstruction 3D modeling handling the uncertainty results 4

5 Generation of the 3D model temple parameters terminate shapes colors and textures reconstruction rules levels of detail Temple parameters CAD, SHP files, measuerements in Nemi, Vitruvius notes, estimation 5

6 Terminate shapes = complex shapes modeled outside of CE and than imported to CE SketchUp, SketchUp 3D Warehouse based on photographs, descriptions, CAD Colors and textures bronze wood plaster stone plaintextures.com, LuGher Texture, TextureKing based on archaeological findings, estimation 6

7 Reconstruction rules 131 rules parameter-based rules, proportional relations enable to modify the parameters without distorting of the entire model Levels of detail LoD 1 - low detail LoD 2 - medium detail LoD 3 - high detail 7

8 Visual reconstruction 3D modeling handling the uncertainty results Introducing uncertainty an archaeological expert s level of confidence in an interpretation deriving from gathered evidence (Sifniotis et al., 2010) differenciate between the existing archaeological remains and possible assumptions examining new hypothesis quantifying the uncertainty visualizing the uncertainty 8

9 Uncertainty calculation creation of a model is a stepwise process starting with an initial model M 0 where each step represents addition of a new object m n, so at step n a model M n+1 is created by adding detail m n to the model M n (Niccolucci et al., 2004) scale (0, 1) based on fuzzy logic 0... totally unreliable object 1... fully reliable object reliability components positional reliability r (p) dimensional reliability r (d) r n = min(r (p) n, r (d) n, r (s) n ) style reliability r (s) r (p) 10 = 1 r (d) 10 = 0,7 r (s) 10 = 0,8 roof tile r 10 = 0,7 overal model reliability r(m n+1 ) = min(r (p) n+1, r (d) n+1, r (s) n+1 ) 9

10 Uncertainty visualization Color visualization schemes Green-Yellow-Red Opaque-Transparent 10

11 Side by side comparing more object variations with different reliability value Click-able objects more information about the uncertainty value 11

12 Visual reconstruction 3D modeling handling the uncertainty results Final results Realistic temple reconstruction Uncertainty of the temple parts Set of 16 temples Sequence of the temple generation dianatemple.herokuapp.com 12

13 Live demo live demo Discussion Procedural modeling in CityEngine parameter based reconstruction rules testing hypotheses, adapting model no legends or annotation in CE Resulting 3D model three LoD CE Web Viewer, CE project documentation online 13

14 Calculation of the uncertainty dependency of the reliability value on the order of adding new objects to the model description of the modeling as a stepwise process suits the environment of procedural modeling implementation of the formula in CE Visualization of the uncertainty color schemes, side by side, click able, sequence no sketchiness, animation, glyphs Conlusion procedural modeling is suitable for archaeological reconstruction fuzzy logic & min function are suitable for the case of Diana Temple Main challenges procedural modeling (CityEngine) visualizing the uncertainty consistency with the required principles 14

15 Thank you for your attention Nemi, September 2014 Mariana Danielová Resources 15