Multiple View Geometry in Computer Vision
Multiple View Geometry in Computer Vision
Parisian camera placement for vision metrology
Pattern Recognition Letters - Special issue: Evolutionary computer vision and image understanding
An Information Theoretic Approach for Next Best View Planning in 3-D Reconstruction
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 01
Parallel Tracking and Mapping for Small AR Workspaces
ISMAR '07 Proceedings of the 2007 6th IEEE and ACM International Symposium on Mixed and Augmented Reality
Generic and real-time structure from motion using local bundle adjustment
Image and Vision Computing
Developing visual sensing strategies through next best view planning
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Active Sensor Planning for Multiview Vision Tasks
Active Sensor Planning for Multiview Vision Tasks
Journal of Field Robotics - Visual Mapping and Navigation Outdoors
Online Next-Best-View Planning for Accuracy Optimization Using an Extended E-Criterion
ICPR '10 Proceedings of the 2010 20th International Conference on Pattern Recognition
Bag-of-words-driven, single-camera simultaneous localization and mapping
Journal of Field Robotics
Automatic sensor placement for model-based robot vision
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Covariance propagation and next best view planning for 3d reconstruction
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part II
A probabilistic framework for next best view estimation in a cluttered environment
Journal of Visual Communication and Image Representation
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In experimental design and 3D reconstruction it is desirable to minimize the number of observations required to reach a prescribed estimation accuracy. Many approaches in the literature attempt to find the next best view from which to measure, and iterate this procedure. This paper discusses a continuous optimization method for finding a whole set of future imaging locations which minimize the reconstruction error of observed geometry along with the distance traveled by the camera between these locations. A computationally efficient iterative algorithm targeted toward application within real-time SLAM systems is presented and tested on simulated data.