TY - GEN
T1 - Next best view planning for active model improvement
AU - Dunn, Enrique
AU - Frahm, Jan Michael
PY - 2009
Y1 - 2009
N2 - We propose a novel approach to determining the Next Best View (NBV) for the task of efficiently building highly accurate 3D models from images. Our proposed method deploys a hierarchical uncertainty driven model refinement process designed to select vantage viewpoints based on the model's covariance structure and appearance, as well as the camera characteristics. The developed NBV planning system incrementally builds a sensing strategy by sequentially finding the single camera placement, which best reduces an existing model's 3D uncertainty. The generic nature of our system's design and internal data representation makes it well suited to be applied to a wide variety of 3D modeling algorithms. It can be used within active computer vision systems as well as for optimized view selection from the set of available views. Experimental results are presented to illustrate the effectiveness and versatility of our approach.
AB - We propose a novel approach to determining the Next Best View (NBV) for the task of efficiently building highly accurate 3D models from images. Our proposed method deploys a hierarchical uncertainty driven model refinement process designed to select vantage viewpoints based on the model's covariance structure and appearance, as well as the camera characteristics. The developed NBV planning system incrementally builds a sensing strategy by sequentially finding the single camera placement, which best reduces an existing model's 3D uncertainty. The generic nature of our system's design and internal data representation makes it well suited to be applied to a wide variety of 3D modeling algorithms. It can be used within active computer vision systems as well as for optimized view selection from the set of available views. Experimental results are presented to illustrate the effectiveness and versatility of our approach.
UR - http://www.scopus.com/inward/record.url?scp=84898847676&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84898847676&partnerID=8YFLogxK
U2 - 10.5244/C.23.53
DO - 10.5244/C.23.53
M3 - Conference contribution
AN - SCOPUS:84898847676
SN - 1901725391
SN - 9781901725391
T3 - British Machine Vision Conference, BMVC 2009 - Proceedings
BT - British Machine Vision Conference, BMVC 2009 - Proceedings
T2 - 2009 20th British Machine Vision Conference, BMVC 2009
Y2 - 7 September 2009 through 10 September 2009
ER -