ElaMorph Projection: Deformation of 3D Shape by Dynamic Projection Mapping

被引:0
|
作者
Fukamizu, Kentaro [1 ]
Miyashita, Leo [1 ]
Ishikawa, Masatoshi [1 ]
机构
[1] Univ Tokyo, Tokyo, Japan
来源
2020 IEEE INTERNATIONAL SYMPOSIUM ON MIXED AND AUGMENTED REALITY (ISMAR 2020) | 2020年
关键词
Computing methodologies; Computer graphics; Graphics systems and interfaces; Mixed/augmented reality; Animation; Physical simulation; PERCEPTION;
D O I
10.1109/1SMA1R50242.2020.00038
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
We propose a projector-based method that provides an illusion of geometry change, similar to that caused by a change in physical properties such as elasticity, in response to inertia caused by physical motion. The proposed method is named "ElaMorph projection." Although several projection mapping methods capable of deforming targets have been previously proposed, these methods require the preparation of animations in advance. Moreover, these methods are unable to deform the shape in real-time according to actual movements of the object. To address these issues, we perform real-time geometry deformation and rendering based on the spatial motion of the object. To render the projection image, we extend the conventional method of deformation for 2D pictures or static 3D objects to include dynamic 3D objects. This study involves projection onto a dynamic 3D object; however, the projection quality decreases if a part of the rendered image extends beyond the projection target. To address this issue, the proposed algorithm ensures that the vertices after deformation always remain within the projection target. In addition, we develop a robust algorithm to generate projection images under dynamic illuminative conditions, through real-time estimation of the environmental lighting required for rendering. Moreover, using an elasticity map that can be easily constructed using a UV map, our method enables users to specify the vertices to be deformed, using an elasticity map. We present projections under several different sets of elasticity maps, environmental lighting, and elasticities. Finally, we evaluate the latency and throughput of our system.
引用
收藏
页码:164 / 173
页数:10
相关论文
共 50 条
  • [41] Generation of variability in shape, aspect and time of 3D Fruits and Vegetables
    Verhulst, Adrien
    Normand, Jean-Marie
    Moreau, Guillaume
    PROCEEDINGS OF THE 2017 23RD INTERNATIONAL CONFERENCE ON VIRTUAL SYSTEM AND MULTIMEDIA (VSMM), 2017, : 468 - 475
  • [42] Markerless Multiview Motion Capture with 3D Shape Model Adaptation
    Fechteler, P.
    Hilsmann, A.
    Eisert, P.
    COMPUTER GRAPHICS FORUM, 2019, 38 (06) : 91 - 109
  • [43] Characterization of the Haptic Shape-Weight Illusion with 3D Objects
    Kahrimanovic, Mirela
    Tiest, Wouter M. Bergmann
    Kappers, Astrid M. L.
    IEEE TRANSACTIONS ON HAPTICS, 2011, 4 (04) : 316 - 320
  • [44] Symmetry Facilitates Shape Constancy for Smoothly Curved 3D Objects
    Lee, Young Lim
    Saunders, Jeffrey A.
    JOURNAL OF EXPERIMENTAL PSYCHOLOGY-HUMAN PERCEPTION AND PERFORMANCE, 2013, 39 (04) : 1193 - 1204
  • [45] Effects of surface reflectance and 3D shape on perceived rotation axis
    Doerschner, Katja
    Yilmaz, Ozgur
    Kucukoglu, Gizem
    Fleming, Roland W.
    JOURNAL OF VISION, 2013, 13 (11):
  • [46] Real-time Globally Consistent 3D Grid Mapping
    Yang, Sining
    Yang, Shaowu
    Yi, Xiaodong
    Yang, Wenjing
    2017 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS (IEEE ROBIO 2017), 2017, : 929 - 935
  • [47] Dynamic comics for hierarchical abstraction of 3D animation data
    1600, Blackwell Publishing Ltd (32): : 1 - 9
  • [48] Predictive-spectral compression of dynamic 3D meshes
    Amjoun, Rachida
    Strasser, Wolfgang
    GRAPP 2007: PROCEEDINGS OF THE SECOND INTERNATIONAL CONFERENCE ON COMPUTER GRAPHICS THEORY AND APPLICATIONS, VOL AS/IE, 2007, : 30 - 38
  • [49] Dynamic mechanisms of visually guided 3D motion tracking
    Bonnen, Kathryn
    Huk, Alexander C.
    Cormack, Lawrence K.
    JOURNAL OF NEUROPHYSIOLOGY, 2017, 118 (03) : 1515 - 1531
  • [50] Decomposing the spatiotemporal signature in dynamic 3D object recognition
    Wang, Ying
    Zhang, Kan
    JOURNAL OF VISION, 2010, 10 (10):