Realise: reconstruction of reality from image sequences

F. Leymarie; A. de la Fortelle; Jan J. Koenderink; A. M L Kappers; M. Stavridi; B. van Ginneken; S. Muller; S. Krake; O. Faugeras; L. Robert; C. Gauclin; S. Laveau; C. Zeller

Realise: reconstruction of reality from image sequences

F. Leymarie^*
, A. de la Fortelle
, Jan J. Koenderink
, A. M L Kappers
, M. Stavridi
, B. van Ginneken
, S. Muller
, S. Krake
, O. Faugeras
, L. Robert
, C. Gauclin
, S. Laveau
, C. Zeller

^*Corresponding author for this work

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

Abstract

REALISE has for principal goals to extract from sequences of images, acquired with a moving camera, information necessary for determining the 3D (CAD-like) structure of a real-life scene together with information about the radiometric signatures of surfaces bounding the extracted 3D objects (e.g. reflectance behaviour). The retrieved information is then integrated in a Virtual Reality (VR) software environment. R&D work is been performed principally in the following areas of Computer Vision & Computer Graphics: structure from motion, recovery of geometries, recovery of photometric and texture information, highly realistic rendering on the basis of empirically-based reflectance models, design and development of improved rendering processes together with a new VR system. Beside this innovative R&D work another key aspect of REALISE is to have Computer Vision & Computer Graphics cooperate to produce realistic 3D data efficiently.

Original language	English
Title of host publication	IEEE International Conference on Image Processing
Editors	Anon
Publisher	IEEE
Pages	651-654
Number of pages	4
Volume	3
Publication status	Published - 1996
Event	Proceedings of the 1996 IEEE International Conference on Image Processing, ICIP'96. Part 2 (of 3) - Lausanne, Switz Duration: 16 Sept 1996 → 19 Sept 1996

Conference

Conference	Proceedings of the 1996 IEEE International Conference on Image Processing, ICIP'96. Part 2 (of 3)
City	Lausanne, Switz
Period	16/09/96 → 19/09/96

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This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 12 Responsible Consumption and Production

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@inproceedings{225640a631344056aba66d56d7623de5,

title = "Realise: reconstruction of reality from image sequences",

abstract = "REALISE has for principal goals to extract from sequences of images, acquired with a moving camera, information necessary for determining the 3D (CAD-like) structure of a real-life scene together with information about the radiometric signatures of surfaces bounding the extracted 3D objects (e.g. reflectance behaviour). The retrieved information is then integrated in a Virtual Reality (VR) software environment. R\&D work is been performed principally in the following areas of Computer Vision \& Computer Graphics: structure from motion, recovery of geometries, recovery of photometric and texture information, highly realistic rendering on the basis of empirically-based reflectance models, design and development of improved rendering processes together with a new VR system. Beside this innovative R\&D work another key aspect of REALISE is to have Computer Vision \& Computer Graphics cooperate to produce realistic 3D data efficiently.",

author = "F. Leymarie and \{de la Fortelle\}, A. and Koenderink, \{Jan J.\} and Kappers, \{A. M L\} and M. Stavridi and \{van Ginneken\}, B. and S. Muller and S. Krake and O. Faugeras and L. Robert and C. Gauclin and S. Laveau and C. Zeller",

year = "1996",

language = "English",

volume = "3",

pages = "651--654",

editor = "Anon",

booktitle = "IEEE International Conference on Image Processing",

publisher = "IEEE",

note = "Proceedings of the 1996 IEEE International Conference on Image Processing, ICIP'96. Part 2 (of 3) ; Conference date: 16-09-1996 Through 19-09-1996",

}

Leymarie, F, de la Fortelle, A, Koenderink, JJ, Kappers, AML, Stavridi, M, van Ginneken, B, Muller, S, Krake, S, Faugeras, O, Robert, L, Gauclin, C, Laveau, S & Zeller, C 1996, Realise: reconstruction of reality from image sequences. in Anon (ed.), IEEE International Conference on Image Processing. vol. 3, IEEE, pp. 651-654, Proceedings of the 1996 IEEE International Conference on Image Processing, ICIP'96. Part 2 (of 3), Lausanne, Switz, 16/09/96.

TY - GEN

T1 - Realise

T2 - Proceedings of the 1996 IEEE International Conference on Image Processing, ICIP'96. Part 2 (of 3)

AU - Leymarie, F.

AU - de la Fortelle, A.

AU - Koenderink, Jan J.

AU - Kappers, A. M L

AU - Stavridi, M.

AU - van Ginneken, B.

AU - Muller, S.

AU - Krake, S.

AU - Faugeras, O.

AU - Robert, L.

AU - Gauclin, C.

AU - Laveau, S.

AU - Zeller, C.

PY - 1996

Y1 - 1996

N2 - REALISE has for principal goals to extract from sequences of images, acquired with a moving camera, information necessary for determining the 3D (CAD-like) structure of a real-life scene together with information about the radiometric signatures of surfaces bounding the extracted 3D objects (e.g. reflectance behaviour). The retrieved information is then integrated in a Virtual Reality (VR) software environment. R&D work is been performed principally in the following areas of Computer Vision & Computer Graphics: structure from motion, recovery of geometries, recovery of photometric and texture information, highly realistic rendering on the basis of empirically-based reflectance models, design and development of improved rendering processes together with a new VR system. Beside this innovative R&D work another key aspect of REALISE is to have Computer Vision & Computer Graphics cooperate to produce realistic 3D data efficiently.

AB - REALISE has for principal goals to extract from sequences of images, acquired with a moving camera, information necessary for determining the 3D (CAD-like) structure of a real-life scene together with information about the radiometric signatures of surfaces bounding the extracted 3D objects (e.g. reflectance behaviour). The retrieved information is then integrated in a Virtual Reality (VR) software environment. R&D work is been performed principally in the following areas of Computer Vision & Computer Graphics: structure from motion, recovery of geometries, recovery of photometric and texture information, highly realistic rendering on the basis of empirically-based reflectance models, design and development of improved rendering processes together with a new VR system. Beside this innovative R&D work another key aspect of REALISE is to have Computer Vision & Computer Graphics cooperate to produce realistic 3D data efficiently.

UR - https://www.scopus.com/pages/publications/0030398818

M3 - Conference contribution

AN - SCOPUS:0030398818

VL - 3

SP - 651

EP - 654

BT - IEEE International Conference on Image Processing

A2 - Anon, null

PB - IEEE

Y2 - 16 September 1996 through 19 September 1996

ER -

Realise: reconstruction of reality from image sequences

Abstract

Conference

UN SDGs

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