catia v5 knowledge-based camera field-of- view modeling

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CATIA V5 knowledge-based camera field-of- view modeling for motion capture system setup in real-world environments Brandon Witbeck – Undergraduate Research Associate Neil Littell - PLM Coordinator Center for Advanced Vehicular Systems at Mississippi State University

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Page 1: CATIA V5 knowledge-based camera field-of- view modeling

CATIA V5 knowledge-based camera field-of-view modeling for motion capture system setup in real-world environments

Brandon Witbeck – Undergraduate Research AssociateNeil Littell - PLM CoordinatorCenter for Advanced Vehicular Systems at Mississippi State University

Page 2: CATIA V5 knowledge-based camera field-of- view modeling

Principal Research Areas:

• Alternative Powered Systems• Focus on development of advanced electromechanical

power conversion• Strong emphasis in wide band gap semi conductor

device development • Hybrid vehicle technology development

• Computational Manufacturing and Design• Dual Focus on world class FEA and Materials Modeling

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Principal Research Areas: (Cont.)

• Human and Systems Engineering• Alternative Learning Technologies • Cooperative Computing Group• Intelligent Electronic Systems • Human Factors and Ergonomics• Product Lifecycle Management

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HSE Lab

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Human Factors and Ergonomics Problem:

• Lengthy setup times for motion capture cameras• Trouble avoiding obstacles to camera fields of view• Uncertainty predicting actual usable camera volume

(Where three cameras or more intersect)• Existing system recognizes volume as a cube • Existing systems does not recognize or account for

obstructions

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Needs

• System placement evaluation prior to arrival on location

• Camera placement that maximizes effective capture volume

• More accurate volume prediction geometry

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Proposed Solution (V1)

• Capture volume prediction model based on camera positions

• Capture volume defined as the intersection of three camera fields of view

• Highly mobile and easily positioned cameras

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Media

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Proposed Solution (V2)

• Added object obstruction to volume predicting model• Quick obstruction setup and activation• Ensured proper obstruction propagation • Created user parameters similar to motion capture

system controls

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Media

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Media

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Final Product (V2)

• CATIA model of cameras and operating capture volume

• Model that is easy to set up and modify • User parameters that match motion capture system

inputs

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System Construction and Setup

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System Construction and Setup

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System Construction and Setup

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System Construction and Setup

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System Construction and Setup

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System Construction and Setup

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System Construction and Setup

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System Construction and Setup

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System Construction and Setup

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System Construction and Setup

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System Construction and Setup

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Future Product Development:

• Further validation of computational model• Incorporation with small cameras for use within

confined spaces• Linkage to camera systems via servo-motor to allow

for CATIA based optimization and Automatic adjustment of camera angles

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Questions?Comments?

Find out more about what CAVS can do for you at:www.cavs.msstate.edu