Range Measurements by a Mobile Robot Using a Navigation Line
IEEE Transactions on Pattern Analysis and Machine Intelligence
An analytic solution for the perspective 4-point problem
Computer Vision, Graphics, and Image Processing
Determining camera parameters from the perspective projection of a rectangle
Pattern Recognition
Autonomous Robotic Inspection and Manipulation Using Multisensor Feedback
Computer - Special issue on instruction sequencing
Robotics
Digital Image Processing
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
A Note on the Number of Solutions of the Noncoplanar P4P Problem
IEEE Transactions on Pattern Analysis and Machine Intelligence
Revised Papers from the International Workshop on Sensor Based Intelligent Robots
A complete symbolic-numeric linear method for camera pose determination
ISSAC '03 Proceedings of the 2003 international symposium on Symbolic and algebraic computation
Complete Solution Classification for the Perspective-Three-Point Problem
IEEE Transactions on Pattern Analysis and Machine Intelligence
Vision-Based Augmented Reality for Pilot Guidance in Airport Runways and Taxiways
ISMAR '04 Proceedings of the 3rd IEEE/ACM International Symposium on Mixed and Augmented Reality
Journal of Mathematical Imaging and Vision
Camera Calibration and Direct Reconstruction from Plane with Brackets
Journal of Mathematical Imaging and Vision
A general sufficient condition of four positive solutions of the P3P problem
Journal of Computer Science and Technology
On the Probability of the Number of Solutions for the P4P Problem
Journal of Mathematical Imaging and Vision
Robotic eye-to-hand coordination: Implementing visual perception to object manipulation
International Journal of Hybrid Intelligent Systems - Recent developments in Hybrid Intelligent Systems
Image and Vision Computing
ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Theoretical and Methodological Issues
Inside looking out camera pose estimation for virtual studio
Graphical Models
Estimation of pose parameters from a set of least square objective functions
Machine Graphics & Vision International Journal
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part I
Closed-form solutions to minimal absolute pose problems with known vertical direction
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part II
Viewpoint determination of image by interpolation over sparse samples
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part I
Hybrid method for solving new pose estimation equation system
IWMM'04/GIAE'04 Proceedings of the 6th international conference on Computer Algebra and Geometric Algebra with Applications
Some necessary conditions on the number of solutions for the P4P problem
IWMM'04/GIAE'04 Proceedings of the 6th international conference on Computer Algebra and Geometric Algebra with Applications
A Novel Solution to the P4P Problem for an Uncalibrated Camera
Journal of Mathematical Imaging and Vision
A linear method for determining intrinsic parameters from two parallel line-segments
ICIC'13 Proceedings of the 9th international conference on Intelligent Computing Theories and Technology
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Pose estimation is an important operation for many vision tasks. In this paper, we propose a new algorithm for pose estimation based on the volume measurement of tetrahedra composed of feature-point triplets extracted from an arbitrary quadrangular target and the lens center of the vision system. The input to this algorithm are the six distances joining all feature pairs and the image coordinates of the quadrangular target. The output of this algorithm are the effective focal length of the vision system, the interior orientation parameters of the target, the exterior orientation parameters of the camera with respect to an arbitrary coordinate system if the target coordinates are known in this frame, and the final pose of the camera. We have also developed a shape restoration technique which is applied prior to pose recovery in order to reduce the effects of inaccuracies caused by image projection. An evaluation of the method has shown that this pose estimation technique is accurate and robust. Because it is based on a unique and closed-form solution, its speed makes it a potential candidate for solving a variety of landmark-based tracking problems.