TY - JOUR
T1 - Focus+Context visualization with distortion minimization
AU - Wang, Yu Shuen
AU - Lee, Tong Yee
AU - Tai, Chiew Lan
N1 - Funding Information:
We thank the anonymous reviewers for their insightful comments that helps us improve the paper. We also thank AIM@SHAPE Shape Repository, Stanford 3D Scanning Repository and Cyberware for the 3D polyhedral models used in this paper. This work is supported in part by the Landmark Program of the NCKU Top University Project (Contract B0008), the National Science Council (Contracts NSC-95-2221-E-006-193-MY2 and NSC-96-2628-E-006-200-MY3), Taiwan, Republic of China and the Research Grant Council of the Hong Kong Special Administrative Region, China (Project No: 620107).
PY - 2008/11
Y1 - 2008/11
N2 - The need to examine and manipulate large surface models is commonly found in many science, engineering, and medical applications. On a desktop monitor, however, seeing the whole model in detail is not possible. In this paper, we present a new, interactive Focus+Context method for visualizing large surface models. Our method, based on an energy optimization model, allows the user to magnify an area of interest to see it in detail while deforming the rest of the area without perceivable distortion. The rest of the surface area is essentially shrunk to use as little of the screen space as possible in order to keep the entire model displayed on screen. We demonstrate the efficacy and robustness of our method with a variety of models.
AB - The need to examine and manipulate large surface models is commonly found in many science, engineering, and medical applications. On a desktop monitor, however, seeing the whole model in detail is not possible. In this paper, we present a new, interactive Focus+Context method for visualizing large surface models. Our method, based on an energy optimization model, allows the user to magnify an area of interest to see it in detail while deforming the rest of the area without perceivable distortion. The rest of the surface area is essentially shrunk to use as little of the screen space as possible in order to keep the entire model displayed on screen. We demonstrate the efficacy and robustness of our method with a variety of models.
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U2 - 10.1109/TVCG.2008.132
DO - 10.1109/TVCG.2008.132
M3 - Article
C2 - 18989032
AN - SCOPUS:54949156794
SN - 1077-2626
VL - 14
SP - 1731
EP - 1738
JO - IEEE Transactions on Visualization and Computer Graphics
JF - IEEE Transactions on Visualization and Computer Graphics
IS - 6
M1 - 4658197
ER -