System and method for implementation of three dimensional (3D) technologies

• US 20140015832A1
• Filed: 11/08/2011
• Published: 01/16/2014
• Est. Priority Date: 08/22/2011
• Status: Abandoned Application

• Current Assignee: Dmitry Kozko, Ivan Onuchin, Nikolay Shturkin
• Original Assignee: Dmitry Kozko, Ivan Onuchin, Nikolay Shturkin
• Inventors: Kozko, Dmitry, Onuchin, Ivan, Shturkin, Nikolay
• Application Number:
  US13/373,196
• Publication Number:
  US 20140015832A1
• Time in Patent Office: Days
• US Class Current: 345/420
• CPC Class Codes: A63F 13/52 involving aspects of the displayed game scene
• CPC Class Codes: A63F 2300/69 Involving elements of the real world in the game world, e.g. measurement in live races, real video
• CPC Class Codes: G06T 13/20 3D [Three Dimensional] animation
• CPC Class Codes: G06T 13/60 of natural phenomena, e.g. rain, snow, water or plants
• CPC Class Codes: G06T 17/00 Three dimensional [3D] modelling, e.g. data description of 3D objects
• CPC Class Codes: G06T 7/00 Image analysis
• CPC Class Codes: G06T 7/292 Multi-camera tracking

Abstract

A system and method of the present invention is a video reconstruction provided to reconstruct animated three dimensional scenes from number of videos received from cameras which observe the scene from different positions and different angles. Multiple video footages of objects are taken from different positions. Then the video footages are filtered to avoid noise (results of light reflection and shadows. The system then restores 3D model of the object and the texture of the object. The system also restores positions of dynamic cameras. Finally, the system maps texture to 3D model.

Claims

1. A system and method of the present invention presents a video reconstruction provided to reconstruct animated three dimensional scenes from number of videos received from cameras which observe the scene from different positions and different angles wherein said system and method further includes a plurality cameras taking video footages of objects are taken from different positions followed by filtering of said video footages to eliminate noise and restoring 3D model of said object and texture of said object followed by restoration of positions of dynamic cameras and mapping texture to a 3D model.

2. A system and method from the claim 1, which utilizes set of cameras positioned in such way to capture high quality 3D objects with textures and other surface properties.

3. A system and method from the claim 1 where dynamically located cameras are used to improve quality of resulting animated 3D scene, especially in locations where statically located cameras do not provide enough quality.

4. A system and method from claim 1 where physical model is used to simulate behavior of objects in real life.

5. A system and method from claim 1 where one or multiple event sources are used to synchronize multiple static and dynamic cameras.

6. A system and method from claims 1, which can restore 3D visual effects (such as fire, water, rain, dust etc), from one or multiple videos.

7. A system and method from claims 1, which can reconstruct animated scene with photo-realistic quality.

8. A system and method from claims 1, which can process information in real-time.

9. A system and method from claims 1 through 8 where all parts of the system either partially or fully autometed.