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Multi-Cam Video Stitching

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Multi-Cam Video Stitching. Panoramic Video Option During a Skype Call. Goal. Integrate a panoramic video feature into Multicam Feature takes the inputs of multiple webcams and stitches them together Output is produced in real time Works using hardware of the average user. Applications.

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Multi-Cam Video Stitching

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  1. Multi-Cam Video Stitching Panoramic Video Option During a Skype Call

  2. Goal • Integrate a panoramic video feature into Multicam • Feature takes the inputs of multiple webcams and stitches them together • Output is produced in real time • Works using hardware of the average user

  3. Applications • Conference calls • Absentee lecture

  4. Background: Image Stitching • Homography • Computer Vision by R. Szeliski • Types of algorithms • Improving the image

  5. Background: Video Stitching • Efficient stitching made use of GPU • Good quality videos not real time • Good quality but required user input

  6. Our Approach and Research Question • OpenCV • Basic hardware components • Can a good panoramic video be stitched in real time during a Skype call with the equipment of the average person? • “good” • “real time” • “equipment of the average user”

  7. Progress: Preliminary work with OpenCV • Install OpenCV on Mac • Simple image stitch

  8. Progress: Simple Videos • Still camera videos • 640 x 480 resolution • Compute homography for each frame • Compute homography once • Results • Typical video has 24 FPS • Approach #1: .89 FPS • Approach #2: 2.12 FPS

  9. Progress: Change the Resolution

  10. Future Work: Speed • Create a mask of videos, only quarter-sized, calculate the homographies and then scale the homographies up to match real size. • Modify variables included within the Stitcher class. • Allow user to select position on slidebar to adjust precision and performance.

  11. Future Work: Quality • Exposure, Gain • Use built in methods in the stitcher class • Observe effects on time • Try videos in different light, observe effects of built in methods

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