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A Flexible Camera Calibration Tool for 3D Capture. Lei Wang Media and Machine Lab Advisor: Cindy Grimm. 3D Capture. Data Acquisition Camera Calibration Shape Integration Texture Synthesis Shape Texture Integration. Camera Calibration. Camera Model Global Approach Requirement
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A Flexible Camera Calibration Tool for 3D Capture Lei Wang Media and Machine Lab Advisor: Cindy Grimm
3D Capture • Data Acquisition • Camera Calibration • Shape Integration • Texture Synthesis • Shape Texture Integration
Camera Calibration • Camera Model • Global Approach • Requirement • Previous Work • Our Approach • Conclusion
Denotation • 2D Point: m = [u, v, 1]T • 3D Point: M = [X, Y, Z]T • 2D – 3D: s m =A [R T] M • A: Intrinsic Parameters • [R T]: Extrinsic Parameters
Global Approach • Take pictures • Detect the pattern • Extract the feature • Solve for intrinsic parameters (one for all) • Solve for extrinsic parameters (one for each)
Requirement • Automated • Hemisphere Visibility • Not occlude the object • Robust on lighting conditions • Easy to build • Easy to detect
Planar Pattern • Checkerboard Tsai’s Algorithm Zhang’s Algorithm • Geometry Pattern • Concentric Circle Jun-Sik Kim, Ho-Won Kim and In-So Kweon’s Algorithm
Improved Planar Pattern • Move the pattern by hand • Place two or more patterns on different plane • Place mirrors and use the additional reflected pattern
Our Approach – Outline • Design Calibrating Pattern • Build Calibrating Pattern • Feature Extraction • Feature Mapping – Gradient Search • Test
Cone with basic 3D shapes • Automated • Hemisphere visibility • Not occlude the object: part of the shape is enough for relying on a group of points • Robust for lighting conditions: color ratio • Easy to detect: color boundary • Easy to build: build from a planar pattern
Basic Shapes • Circles • Ellipses • Lines • Points
Parameterized Representation • Line • Circle • Ellipse
The Printable Planar Pattern • 3D equation, 2D print translation • Physical tips
Boundary Detection • Color ratio • Grouping
Ellipses • Ellipse detection • Ellipse fitting
Lines • Line detection • Line fitting
Points • Direct Point detection • Intersection of two shapes - Line-line intersection - Line-circle intersection - Line-ellipse intersection - Ellipse-ellipse intersection(not recommend)
Solve for Intrinsic Parameters • Checkerboard • OpenCV • Flagged Checkerboard
Extrinsic by Points • Use Points • Linear • Limitation - Hard to label - Inaccurate - Six points rules not guaranteed
Extrinsic by Shapes • Other Shape • Non-Linear • Gradient-decent Search - Cost Function - Initial Guess - Step Choose - Stop Condition
Extrinsic by Lines • Cost Function • Initial Guess • Step Choose • Stop Condition
Extrinsic by Conics • Cost Function • Initial Guess • Step Choose • Stop Condition
General Extrinsic • General Case • Use Combination Pattern
Conclusion • Easiness • Efficiency
Conclusion • Accuracy