Automated generation of camera paths

Patent metadata

Field	Value
Publication number	US-2021281810-A1
Application number	US-201817253188-A
Country	US
Kind code	A1
Filing date	Sep 28, 2018
Priority date	Sep 28, 2018
Publication date	Sep 9, 2021
Grant date	—

Abstract

Methods, systems and apparatuses may provide for technology that automatically determines, based on camera calibration data and trajectory data associated with a projectile in a game, a plurality of camera angles. The technology may also automatically generate, based on the plurality of camera angles, a camera path for a volumetric content replay of a three-dimensional (3D) region of interest around a highlight moment in the game.

First claim

1 - 24 . (canceled)

25 . A computing system comprising:
a network controller; a processor coupled to the network controller; and a memory coupled to the processor, the memory including a set of instructions, which when executed by the processor, cause the computing system to:
automatically determine, based on camera calibration data and trajectory data associated with a projectile in a live game, a plurality of camera angles; and
automatically generate, based on the plurality of camera angles, a camera path for a volumetric content replay of a 3D region of interest around a highlight moment in the live game.

26 . The system of claim 25 , wherein the instructions, when executed, cause the computing system to partition, based on the highlight moment, the trajectory data into pre-highlight trajectory data and post-highlight trajectory data.

27 . The system of claim 26 , wherein the plurality of camera angles is to include
a pre-highlight camera angle determined based on the camera calibration data and the pre-highlight trajectory data.

28 . The system of claim 26 , wherein the plurality of camera angles is to include
a pre-highlight camera angle determined based on the camera calibration data and the pre-highlight trajectory data.

29 . The system of claim 26 , wherein the plurality of camera angles is to include
one or more intermediate camera angles between a pre-highlight camera angle and a post-highlight camera angle, the one or more intermediate camera angles being determined based on the camera calibration data, the pre-highlight camera angle, and the post-highlight camera angle.

30 . The system of claim 25 , wherein the instructions, when executed, cause the computing system to:
select the 3D region of interest based on the plurality of camera angles, projectile position data, player position data, and target area data; and re-project the 3D region of interest to the plurality of camera angles.

31 . A semiconductor apparatus comprising:
one or more substrates; and logic coupled to the one or more substrates, wherein the logic is implemented at least partly in one or more of configurable logic or fixed-functionality hardware logic, the logic coupled to the one or more substrates to: automatically determine, based on camera calibration data and trajectory data associated with a projectile in a live game, a plurality of camera angles; and

32 . The semiconductor apparatus of claim 31 , wherein the logic coupled to the one or more substrates is to partition, based on the highlight moment, the trajectory data into pre-highlight trajectory data and post-highlight trajectory data.

33 . The semiconductor apparatus of claim 31 , wherein the logic coupled to the one or more substrates is to partition, based on the highlight moment, the trajectory data into pre-highlight trajectory data and post-highlight trajectory data.

34 . The semiconductor apparatus of claim 32 , wherein the plurality of camera angles is to include a post-highlight camera angle determined based on the camera calibration data and the post-highlight trajectory data.

35 . The semiconductor apparatus of claim 32 , wherein the plurality of camera angles is to include one or more intermediate camera angles between a pre-highlight camera angle and a post-highlight camera angle, the one or more intermediate camera angles being determined based on the camera calibration data, the pre-highlight camera angle, and the post-highlight camera angle.

36 . The semiconductor apparatus of claim 31 , wherein the logic coupled to the one or more substrates is to:
select the 3D region of interest based on the plurality of camera angles, projectile position data, player position data, and target area data; and re-project the 3D region of interest to the plurality of camera angles.

37 . At least one computer readable storage medium comprising a set of instructions, which when executed by a computing system, cause the computing system to:
automatically determine, based on camera calibration data and trajectory data associated with a projectile in a live game, a plurality of camera angles; and automatically generate, based on the plurality of camera angles, a camera path for a volumetric content replay of a 3D region of interest around a highlight moment in the live game.

38 . The at least one computer readable storage medium of claim 37 , wherein the instructions, when executed, cause the computing system to partition, based on the highlight moment, the trajectory data into pre-highlight trajectory data and post-highlight trajectory data.

39 . The at least one computer readable storage medium of claim 38 , wherein the plurality of camera angles is to include a pre-highlight camera angle determined based on the camera calibration data and the pre-highlight trajectory data.

40 . The at least one computer readable storage medium of claim 38 , wherein the plurality of camera angles is to include a post-highlight camera angle determined based on the camera calibration data and the post-highlight trajectory data.

42 . The at least one computer readable storage medium of claim 37 , wherein the instructions, when executed, cause the computing system to:
select the 3D region of interest based on the plurality of camera angles, projectile position data, player position data, and target area data; and re-project the 3D region of interest to the plurality of camera angles.

43 . A method comprising:
automatically determining, based on camera calibration data and trajectory data associated with a projectile in a live game, a plurality of camera angles; and automatically generating, based on the plurality of camera angles, a camera path for a volumetric content replay of a 3D region of interest around a highlight moment in the live game.

44 . The method of claim 43 , further including partitioning, based on the highlight moment, the trajectory data into pre-highlight trajectory data and post-highlight trajectory data.

45 . The method of claim 43 , wherein the plurality of camera angles include a pre-highlight camera angle determined based on the camera calibration data and the pre-highlight trajectory data.

46 . The method of claim 44 , wherein the plurality of camera angles include a post-highlight camera angle determined based on the camera calibration data and the post-highlight trajectory data.

47 . The method of claim 44 , wherein the plurality of camera angles include one or more intermediate camera angles between a pre-highlight camera angle and a post-highlight camera angle, the one or more intermediate camera angles being determined based on the camera calibration data, the pre-highlight camera angle, and the post-highlight camera angle.

48 . The method of claim 43 , further including:
selecting the 3D region of interest based on the plurality of camera angles, projectile position data, player position data, and target area data; and re-projecting the 3D region of interest to the plurality of camera angles.

Assignees

• Intel Corp

Inventors

• Li Qiang
• Li Wenlong
• Houminer Doron T
• Ling Chen
• Prilusky Diego

Classifications

• H04N13/167

  Synchronising or controlling image signals · CPC title

• H04N13/111 Primary

  Transformation of image signals corresponding to virtual viewpoints, e.g. spatial image interpolation · CPC title

• H04N13/243

  using three or more two-dimensional [2D] image sensors · CPC title