Stereo-based visual odometry method and system

Image analysis – Applications – Target tracking or detecting

Reexamination Certificate

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C382S104000, C382S154000

Reexamination Certificate

active

07925049

ABSTRACT:
A method for estimating pose from a sequence of images, which includes the steps of detecting at least three feature points in both the left image and right image of a first pair of stereo images at a first point in time; matching the at least three feature points in the left image to the at least three feature points in the right image to obtain at least three two-dimensional feature correspondences; calculating the three-dimensional coordinates of the at least three two-dimensional feature correspondences to obtain at least three three-dimensional reference feature points; tracking the at least three feature points in one of the left image and right image of a second pair of stereo images at a second point in time different from the first point in time to obtain at least three two-dimensional reference feature points; and calculating a pose based on the at least three three-dimensional reference feature points and its corresponding two-dimensional reference feature points in the stereo images. The pose is found by minimizing projection residuals of a set of three-dimensional reference feature points in an image plane.

REFERENCES:
patent: 6873713 (2005-03-01), Okazaki et al.
patent: 7158656 (2007-01-01), Covell et al.
patent: 2003/0218672 (2003-11-01), Zhang et al.
patent: 2007/0031037 (2007-02-01), Blake et al.
Harris et al., “A Combined Corner and Edge Detector,” 1988, 4th Alvey Vision Conference.
Nister et al., “Visual Odometry,” 2004, IEEE Conference on CVPR.
Hartly et al., “Multiple View Geometry in Computer Vision,” 2003, Cambridge University Press, pp. 239-257 and pp. 600-623.
Haralick et al., “Review and Analysis of Solutions of the Three Point Perspective Pose Estimation Problem,” 1994, International Journal of Computer Vision, 13(3):331-356.
Foxlin et al., “Pedestrian Tracking with Shoe Mounted Inertial Sensors,” 2005, IEEE Computer Graphics and Applications, vol. 25, No, 6, pp. 38-46.
Olson et al., “Rover Navigation Using Stereo Ego-motion,” 2003, Robotics and Autonomous Systems, vol. 43, No. 4, p. 215-229.
Dissanayake et al., “A Solution to the Simultaneous Localization and Map Building (SLAM) Problem,” 2001, IEEE Transactions on Robotic and Automation, vol. 17, No. 3, p. 229-241.
Davidson, “Real-Time Simultaneous Localization and Mapping with a Single Camera,” 2003, IEEE Conference on Computer Vision.
Strelow et al., “Omnidirectional Visual Odometry fir a Planetary Rover,” 2004, IEEE International Conference on Intelligent Robots and Systems.
Sutherland et al., “Inexact Navigation,” 1993, IEEE International Conference on Robotics and Automation.
Se et a., “Global Localization Using Distinctive Visual Features,” 2002, IEEE International Conference on Intelligent Robots and Systems.
Johnson et al., “Vision Guided Landing of an Autonomous Helicopter in Hazardous Terrain,” 2005, IEEE International Conference on Robotics and Automation.
Milella et al., “Stereo-Based Ego-Motion Estimation Using Pixel Tracking and Interactive Closest Point,” 2006, IEEE International Conference on Computer Vision Systems.
Roumeliotis et al., “Augmenting Inertial Navigation with Image-based Motion Estimation,” 2002, IEEE International Conference on Computer Robotics and Automation.
Volpe, “Mars Rover Navigation Results Using Sun Sensor Heading Determination,” 1999, IEEE International Conference on Intelligent Robot and Systems.
Stephens et al., “3D Wire-Frame Integration From Image Sequences,” 1989, Butterworth & Co.

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