1 / 13

Tour Into the Picture

Tour Into the Picture. YOUICHI HORRY, KEN-ICHI ANJYO, KIYOSHI ARAI PROCEEDINGS OF THE 24TH ANNUAL CONFERENCE ON COMPUTER GRAPHICS AND INTERACTIVE TECHNIQUES. What is TIP?. Input: a single picture. What is TIP?. Output: a 3D-like animation. Why TIP?.

joben
Download Presentation

Tour Into the Picture

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Tour Into the Picture YOUICHI HORRY, KEN-ICHI ANJYO, KIYOSHI ARAI PROCEEDINGS OF THE 24TH ANNUAL CONFERENCE ON COMPUTER GRAPHICS AND INTERACTIVE TECHNIQUES

  2. What is TIP? Input: a single picture

  3. What is TIP? Output: a 3D-like animation

  4. Why TIP? • Reconstruct detailed 3D model from the picture? • Very difficult, even by manually calibration. • One picture is not sufficiently informative. • TIP supplies a much simplified 3D model (Box).

  5. Process Flow

  6. Process Flow • (a) Get the input image • (b) Define the background and extract the foreground mask. • (c) Inpaint the background to make it complete. • We can use several image inpainting techniques today.

  7. Process Flow • (d) Build the spidery mesh by user input. • (e) Modeling the 3D background.

  8. The Method in the Original Paper • In the original paper, the authors didn’t really even reconstruct the 3D box model.

  9. The Method in the Original Paper • Interactive controlling of spidery mesh.

  10. The Method in the Original Paper • Generate the new background

  11. Current Method • If we know the vanishing point and the assumed 3D structure, we can estimate the camera. • Refer to §8.9 Single view reconstruction, Multiple View Geometry in Computer Vision.

  12. Process Flow • Attach foreground object to the model

  13. Process Flow • Final Result

More Related