Augmented Reality Based Re-formable Mock-Up for Design Evaluation

Rapid prototyping allows for evaluation of design product in a short period of time. Designers or CEOs may perceive the size and appearance of the product by touching the automatically constructed physical objects produced through rapid prototyping. However, it is usually impossible to change its color, texture, and user interface. In this paper, we introduce 'Augmented Reality based Re-formable Mock-up', which enables interactive changes of shapes of products as well as colors, textures, and user interfaces. The shapes of the physical objects are re-formable by assembling different parts to the main body of the mock-up. Augmented Reality technologies were used to alter the appearance of the mock-up by rendering the 3D models, colors, and interfaces accordingly. The re-assembled mock-up was detected by comparing the edges of the mock-up with those of candidate 3D models. Skin detection was used in order to render the hand region on the top of rendered virtual object. Fingertip tracking algorithm was also implemented so that the users may manipulate the design product using their fingertips. Developed AR-based re-formable mock-up is expected to be used for realistic design evaluation and CEO presentations.

[1]  K. Satoh,et al.  A hybrid and linear registration method utilizing inclination constraint , 2005, Fourth IEEE and ACM International Symposium on Mixed and Augmented Reality (ISMAR'05).

[2]  Abdolhossein Sarrafzadeh,et al.  An adaptive real-time skin detector based on Hue thresholding: A comparison on two motion tracking methods , 2006, Pattern Recognit. Lett..

[3]  David G. Lowe,et al.  Distinctive Image Features from Scale-Invariant Keypoints , 2004, International Journal of Computer Vision.

[4]  Holger Regenbrecht,et al.  Augmented Reality Projects in Automotive and Aerospace Industry , 2005 .

[5]  G LoweDavid,et al.  Distinctive Image Features from Scale-Invariant Keypoints , 2004 .

[6]  Charles Woodward,et al.  Augmented interiors with digital camera images , 2006, AUIC.

[7]  Martin Bauer,et al.  Fata Morgana - a presentation system for product design , 2002, Proceedings. International Symposium on Mixed and Augmented Reality.

[8]  Dorin Comaniciu,et al.  Mean shift analysis and applications , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.

[9]  Woohun Lee,et al.  Augmented foam: a tangible augmented reality for product design , 2005, Fourth IEEE and ACM International Symposium on Mixed and Augmented Reality (ISMAR'05).

[10]  Gary Bradski,et al.  Computer Vision Face Tracking For Use in a Perceptual User Interface , 1998 .

[11]  Didier Stricker,et al.  Adaptive line tracking with multiple hypotheses for augmented reality , 2005, Fourth IEEE and ACM International Symposium on Mixed and Augmented Reality (ISMAR'05).

[12]  Raimondo Schettini,et al.  Skin segmentation using multiple thresholding , 2006, Electronic Imaging.