December 2012
Intermediate to advanced
340 pages
8h 3m
English
Content preview from Mastering OpenCV with Practical Computer Vision ProjectsBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Pattern pose estimation
The pose estimation is done in a similar manner to marker pose estimation from the previous chapter. As usual we need 2D-3D correspondences to estimate the camera-extrinsic parameters. We assign four 3D points to coordinate with the corners of the unit rectangle that lies in the XY plane (the Z axis is up), and 2D points correspond to the corners of the image bitmap.
PatternDetector.cpp
The
buildPatternFromImage class creates a Pattern object from the input image as follows:
void PatternDetector::buildPatternFromImage(const cv::Mat& image, Pattern& pattern) const { int numImages = 4; float step = sqrtf(2.0f); // Store original image in pattern structure pattern.size = cv::Size(image.cols, image.rows); pattern.frame = image.clone(); ...Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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