Download Matchmoving: The Invisible Art of Camera Tracking by Tim Dobbert PDF

By Tim Dobbert

Master the paintings and technological know-how of Matchmoving

Written by way of a matchmoving specialist, this e-book is way greater than a technical primer. It is helping you think that like a professional so you might locate the correct answer to your matchmoves, regardless of how tough. you are going to additionally locate assurance of projects that quite often cross hand-in-hand with matchmoving, in addition to recommendation at the contributions you can also make at the set of a live-action shoot. even if you are a scholar or expert, Matchmoving: The Invisible paintings of digital camera monitoring delivers the information and viewpoint you want to speedy and effectively clear up each matchmove.

Coverage includes:

  • Understanding how matchmove courses work
  • Perspective matching
  • Getting optimum second monitoring data
  • Calibrating/solving cameras
  • Using computerized tracking
  • Fitting matchmoves right into a CG set
  • Mastering matchamation techniques
  • Modeling from matchmoves
  • Troubleshooting undesirable matchmoves
  • Multi-purposing matchmove data

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Extra info for Matchmoving: The Invisible Art of Camera Tracking

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The fruits of this labor can be seen in the Mars rovers Spirit and Opportunity. They use photogrammetry to help navigate their way around the rocky surface of Mars with a minimal amount of human intervention. Call me a geek, but I get a kick out of knowing that the technology I use every day is the same technology being used to explore other planets. Photogrammetry 101 Photogrammetry is not an easy thing to research, let alone describe. Look up anything on the subject, and you’re likely to run across impossibly dense white papers full of puzzling formulas and Greek symbols.

Now that you know a little bit about how matchmove programs perform their magic, you are in a better position to find out what they need to achieve a calibration. The exact details will vary depending on the program you’re using, but in general they all have similar needs. Adequate 2D tracks If you don’t have good 2D tracks or don’t have any at all, the program has nothing to input into its algorithms, therefore, it can’t give you a solution. Most matchmove programs require a minimum number of tracks at any given frame, and if there are not enough, the solution will either completely or partially fail.

Move the building to an estimated distance. This is likely to be the most difficult value to estimate. There aren’t too many clues as to how far the photographer was away from the building, so I needed to guess how far away the building should be. I chose 78 meters by comparing the scale of my building as I moved it away from the camera. This, of course, assumes that the size of my CG building is correct. 7). 7 For this image, the camera is at its correct height, and the building is approximately the same scale as the building on the right.

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