SYSTEM FOR CORRECTING RPC CAMERA MODEL POINTING ERRORS USING 2 SETS OF STEREO IMAGE PAIRS AND PROBABILISTIC 3-DIMENSIONAL MODELS

摘要

A modeling engine (ME) for generating or “bootstrapping” a three dimensional edge model (3DEM) from two stereo pairs of images and correcting engine (CE) for correcting a camera model associated with an image are provided. The ME back projects edge detected images into 3DEMs using camera models associated with the stereo images, updates and stereo updates voxel probabilities in the 3DEM s with back projections of the edge detected images, and then merges the 3DEMs together to create a “sparse” 3DEM. The CE calculates a registration solution mapping an edge detected image of an image to an expected edge image. The expected edge image is a projection of a 3DEM using a camera model associated with the image. The CE corrects the camera model by applying the registration solution to the camera model based on determining whether the registration solution is a high confidence registration solution.

主权项

1. A method for correcting an inaccurate camera model associated with an image comprising:
in a correcting engine: generating an edge detected image from an image, the image associated with an inaccurate camera model; projecting a three dimensional edge model with the inaccurate camera model resulting in an expected edge image; calculating a subject registration solution registering the edge detected image to the expected edge image; determining whether the calculated subject registration is a high confidence registration solution; and based on the determination, applying the subject registration solution to the inaccurate camera model resulting in a corrected camera model associated with the image.