Least-Squares Fitting of Two 3-D Point Sets
IEEE Transactions on Pattern Analysis and Machine Intelligence
Least-Squares Estimation of Transformation Parameters Between Two Point Patterns
IEEE Transactions on Pattern Analysis and Machine Intelligence
Matrix computations (3rd ed.)
In Defense of the Eight-Point Algorithm
IEEE Transactions on Pattern Analysis and Machine Intelligence
Linear N-Point Camera Pose Determination
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fast and Globally Convergent Pose Estimation from Video Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robot Vision
Introductory Techniques for 3-D Computer Vision
Introductory Techniques for 3-D Computer Vision
Computer and Robot Vision
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Linear Pose Estimation from Points or Lines
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part IV
SoftPOSIT: Simultaneous Pose and Correspondence Determination
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
Linear Augmented Reality Registration
CAIP '01 Proceedings of the 9th International Conference on Computer Analysis of Images and Patterns
Linear Pose Estimation from Points or Lines
IEEE Transactions on Pattern Analysis and Machine Intelligence
SoftPOSIT: Simultaneous Pose and Correspondence Determination
International Journal of Computer Vision
A new method of camera pose estimation using 2D-3D corner correspondence
Pattern Recognition Letters
A Simple Technique for Improving Camera Displacement Estimation in Eye-in-Hand Visual Servoing
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Hybrid and Linear Registration Method Utilizing Inclination Constraint
ISMAR '05 Proceedings of the 4th IEEE/ACM International Symposium on Mixed and Augmented Reality
Journal of Mathematical Imaging and Vision
A general sufficient condition of four positive solutions of the P3P problem
Journal of Computer Science and Technology
A matter of notation: Several uses of the Kronecker product in 3D computer vision
Pattern Recognition Letters
Viewpoint determination of image by interpolation over sparse samples
Image and Vision Computing
Relative Pose Estimation of Surgical Tools in Assisted Minimally Invasive Surgery
IbPRIA '07 Proceedings of the 3rd Iberian conference on Pattern Recognition and Image Analysis, Part II
EPnP: An Accurate O(n) Solution to the PnP Problem
International Journal of Computer Vision
Georeferencing image points using visual pose estimation and DEM
Proceedings of the 2007 conference on Artificial Intelligence Research and Development
Improved MDS-based multi-target tracking algorithm
WCNC'09 Proceedings of the 2009 IEEE conference on Wireless Communications & Networking Conference
Control uncertainty in image-based visual servoing
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
Dynamic 6DOF metrology for evaluating a visual servoing system
PerMIS '08 Proceedings of the 8th Workshop on Performance Metrics for Intelligent Systems
A branch-and-bound algorithm for globally optimal camera pose and focal length
Image and Vision Computing
Field Testing of an Integrated Surface/Subsurface Modeling Technique for Planetary Exploration
International Journal of Robotics Research
Computers and Electrical Engineering
Camera pose estimation based on angle constraints
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part I
Model based pose estimation using SURF
ACCV'10 Proceedings of the 2010 international conference on Computer vision - Volume part II
Linear pose estimation algorithm based on quaternion
ICIC'11 Proceedings of the 7th international conference on Advanced Intelligent Computing
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This paper concerns an efficient algorithm for the solution of the exterior orientation problem. Orthogonal decompositions are used to first isolate the unknown depths of feature points in the camera reference frame, allowing the problem to be reduced to an absolute orientation with scale problem, which is solved using the SVD. The key feature of this approach is the low computational cost compared to existing approaches.