Notice of Pre-AIA or AIA Status
The present application, filed on or after March 16, 2013, is being examined under the first inventor to file provisions of the AIA .
Claim Rejections - 35 USC § 102
The following is a quotation of the appropriate paragraphs of 35 U.S.C. 102 that form the basis for the rejections under this section made in this Office action:
A person shall be entitled to a patent unless –
(a)(2) the claimed invention was described in a patent issued under section 151, or in an application for patent published or deemed published under section 122(b), in which the patent or application, as the case may be, names another inventor and was effectively filed before the effective filing date of the claimed invention.
Claims 1-2,5,8,12-13 and 16-17 are rejected under 35 U.S.C. 102(a)(2) as being anticipated by Mehta et al. (“VNect: Real-time 3D Human Pose Estimation with a Single RGB Camera”).
Regarding claim 1, Mehta et al. discloses a method comprising:
receiving a video comprising a plurality of images that include a depiction of an object in the video (using a single RGB camera as video input, p44:2, col. 1);
detecting one or more changes to a pose represented by the object based on tracking the one or more changes across the plurality of images (CNN that predicts both 2D, and root(pelvis) relative 3D joint positions in real-time, sec. 3); and
continuously or periodically modifying one or more poses of (real-time 3D human pose estimation, section 4.1) an avatar to match the one or more changes to the pose represented by the object (enables applications such as controlling a game character, embodied VR, sport motion analysis and reconstruction of community video, figure 1).
Regarding claim 2, Mehta et al. discloses the method of claim 1, further comprising:
tracking the one or more changes in one or more features of the object across the plurality of images (recover the full global 3D skeleton pose in real-time from a single RGB camera, even wireless capture is possible by streaming from a smartphone (left). It enables applications such as controlling a game character, embodied VR, sport motion analysis and reconstruction, figure 1).
Regarding claim 5, Mehta et al. discloses the method of claim 1, wherein the plurality of images is processed by a first deep neural network (real-time, fully-convolutional 3D body pose formulation using CNNs that yields 2D and 3D joint positions simultaneously and forgoes the need to perform expensive bounding box computations, p44:2, col. 1).
Regarding claim 8, Mehta et al. discloses the method of claim 1, further comprising selecting the avatar associated with a rig from a plurality of avatars (see characters shown in figure 1).
Claim 12, a system claim, is rejected for the same reason as claim 1.
Claim 13, a system claim, is rejected for the same reason as claim 2.
Claim 16, a non-transitory machine-readable storage medium claim, is rejected for the same reason as claim 1.
Claim 17, a non-transitory machine-readable storage medium claim, is rejected for the same reason as claim 2.
Claim 20, a non-transitory machine-readable storage medium claim, is rejected for the same reason as claim 5.
Allowable Subject Matter
Claims 3, 4, 6, 7, 9-11, 14, 15, 18 and 19 are objected to as being dependent upon a rejected base claim, but would be allowable if rewritten in independent form including all of the limitations of the base claim and any intervening claims.
Conclusion
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/THOMAS J LETT/Primary Examiner, Art Unit 2611
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