Week 9: Web-Assisted Object Detection

All materials on our website are shared by users. If you have any questions about copyright issues, please report us to resolve them. We are always happy to assist you.
 23 views
of 14

Please download to get full document.

View again

Description
Week 9: Web-Assisted Object Detection. Alejandro Torroella & Amir R. zamir. Sensor Model: Perspective Projection. Implemented a sensor model based on perspective projection (objects that are far away appear smaller in the image as compared to objects that are closer) Where:
Share
Transcript
Week 9:Web-Assisted Object Detection Alejandro Torroella & Amir R. zamir Sensor Model: Perspective Projection
  • Implemented a sensor model based on perspective projection (objects that are far away appear smaller in the image as compared to objects that are closer)
  • Where:
  • P = pixel transformation matrix
  • K = camera calibration matrix
  • R = rotation matrix
  • C = world coordinate of the camera
  • Xw = world coordinate of the object
  • Xi = pixel coordinate of the object
  • Geometry Method results: Before Street Lights Trash Cans Geometry Method results: After GIS Sift(without perspective projection) Street Lights Trash Cans Geometry Method results: After GIS Sift(with perspective projection) Street Lights Trash Cans Geometry Method results: after Fusion (without perspective projection) Street Lights Trash Cans Geometry Method results: after Fusion (with perspective projection) Street Lights Trash Cans Geometry Method results: Before projection) Traffic Signals Street Lights Geometry Method results: After GIS Sift projection)(without perspective projection) Traffic Signals Street Lights Geometry Method results: After GIS Sift projection)(with perspective projection) Traffic Signals Street Lights Geometry Method results: after Fusion (without perspective projection) Traffic Signals Street Lights Geometry Method results: after Fusion (with perspective projection) Traffic Signals Street Lights Goals for next week projection)
  • Test the GIS fusion with perspective projection thoroughly
  • Possibly fix bugs with the implementation of the sensor model
  • Principal point of the image is unknown, need some way to find what it is.
  • Some pixel values result in out of the bounds of the image
  • Not sure why, but it might be due to the rough estimation of the principal point and/or error in the conversion from geodetic to ECEF.
  • Thank you projection)Fin.
    Related Search
    We Need Your Support
    Thank you for visiting our website and your interest in our free products and services. We are nonprofit website to share and download documents. To the running of this website, we need your help to support us.

    Thanks to everyone for your continued support.

    No, Thanks
    SAVE OUR EARTH

    We need your sign to support Project to invent "SMART AND CONTROLLABLE REFLECTIVE BALLOONS" to cover the Sun and Save Our Earth.

    More details...

    Sign Now!

    We are very appreciated for your Prompt Action!

    x