A Geospatial Technique for Detecting Distance and Reflection Angle Between Real and Virtual Objects

다국어 초록 (Multilingual Abstract)

This paper presents a geospatial collision detection technique consisting of two methods: Find Object Distance (FOD) and Find Reflection Angle (FRA). We show how the geospatial collision detection technique using a computer vision system detects a computer generated virtual object and a real object manipulated by a human user and how the virtual object can be reflected on a real floor after being detected by a real object. In the geospatial collision detection technique, the FOD method de-tects the real and virtual objects, and the FRA method predicts the next moving directions of virtual objects. We demonstrate the two methods by implementing a floor based Augmented Reality (AR) game, Ting Ting, which is played by bouncing fire-shaped virtual objects projected on a floor using bamboo-shaped real objects. The results reveal that the FOD and the FRA methods of the geospatial collision detection technique enable the smooth interaction between a real object manipulated by a human user and a virtual object controlled by a computer. The proposed technique is expected to be used in various AR applications as a low cost interactive collision detection engine such as in educational materials, interactive contents including games, and entertainment equipments.

참고문헌 (Reference)

1 D.Aliaga, "Virtual objects in the real world" 40 : 49-54, 1997

2 B.Mirtich, "V-Clip: fast and robust polyhedral collision detection" 17 : 177-208, 1997

3 D.Lowe, "Three-dimensional object recognition form single two-dimensional images" 31 : 355-395, 1987

4 A. Shahrokni, "Polyhedral object detection and pose estimation for augmented reality applications" 65-69, 2002

5 S. Gottschalk, "OBBTree: a hierarchical structure for rapid interference detection" 171-180, 1996

6 D.Sims, "New realities in aircraft design and manufacture" 14 : 91-, 1994

7 M. Bajura, "Merging virtual reality with the real world: seeing ultrasound imagery within the patient" 203-210, 1992

8 S. Feiner, "Knowledge- based augmented reality" 36 : 53-62, 1993

9 D.Eberly, "Intersection of objects with linear and angular velocities using oriented bounding boxes" Geometric Tools 1999

10 D. Breen, "Interactive occlusion and collision of real and virtual objects in augmented reality" 11-22, 1996

11 B.Mirtich, "Impulse-based dynamic simulation of rigid body systems in Computer Science Berkeley" University of California at Berkeley 1996

12 C. Sean, "Fast collision detection for deformable models using representative- triangles" 61-69, 2008

13 W. Grimson, "Evaluating and validating an automated registration system for enhanced reality visualization in surgery" 1-12, 1995

14 M. Lin, "Efficient Collision Detection for Animation and Robotics" Cambridge 1992

15 D.Eberly, "Dynamic collision detection using oriented bounding boxes" Geometric Tools 1999

16 P. Suetens, "Computational strategies for object recognition" 24 : 5-61, 1992

17 H. Schumann, "Applying augmented reality techniques in the field of interactive collaborative design" Springer-Verlag 290-303, 1998

18 J. Gabbard, "Active text drawing styles for outdoor augmented reality: a user-based study and design implications" 35-42, 2007

19 M. Lin, "A fast algorithm for incremental distance calculation" 1008-1014, 1991