Vivek Living Verma

US Patent:

20060061566, Mar 23, 2006

Filed:

Aug 18, 2005

Appl. No.:

11/206665

Inventors:

Vivek Verma - Lawrenceville NJ, US
Rakesh Kumar - Monmouth Junction NJ, US
Stephen Hsu - Sunnyvale CA, US
Harpreet Sawhney - West Windsor NJ, US

International Classification:

G06T 15/00
G09G 5/00

US Classification:

345419000, 345582000

Abstract:

A method and apparatus for automatically generating a three-dimensional computer model from a “point cloud” of a scene produced by a laser radar (LIDAR) system. Given a point cloud of an indoor or outdoor scene, the method extracts certain structures from the imaged scene, i.e., ceiling, floor, furniture, rooftops, ground, and the like, and models these structures with planes and/or prismatic structures to achieve a three-dimensional computer model of the scene. The method may then add photographic and/or synthetic texturing to the model to achieve a realistic model.

US Patent:

20220270314, Aug 25, 2022

Filed:

Feb 22, 2022

Appl. No.:

17/677123

Inventors:

- San Mateo CA, US
Dario KNEUBUHLER - Zurich, CH
Tijmen VERHULSDONCK - Göteborg, SE
Eloi DU BOIS - Austin TX, US
Will WELCH - San Francisco CA, US
Vivek VERMA - Oakland CA, US
Ian SACHS - Corte Madera CA, US
Kiran BHAT - San Francisco CA, US

Assignee:

Roblox Corporation - San Mateo CA

International Classification:

G06T 13/40
G06T 7/73
G06V 40/16
G06V 10/82
G06V 10/774
G06V 10/24

Abstract:

Implementations described herein relate to methods, systems, and computer-readable media to generate animations for a 3D avatar from input video captured at a client device. A camera may capture video of a face while a trained face detection model and a trained regression model output a set of FACS weights, head poses, and facial landmarks to be translated into the animations of the 3D avatar. Additionally, a higher level-of-detail may be intelligently selected based upon user preferences and/or computing conditions at the client device.

US Patent:

20210027511, Jan 28, 2021

Filed:

Jul 23, 2020

Appl. No.:

16/937355

Inventors:

- San Francisco CA, US
Eloi Henri Homere Du Bois - Austin TX, US
Inaki Navarro - San Francisco CA, US
Will Welch - San Francisco CA, US
Rishabh Battulwar - Redwood City CA, US
Ian Sachs - Corte Madera CA, US
Vivek Verma - Oakland CA, US
Kiran Bhat - San Francisco CA, US

Assignee:

LoomAi, Inc. - San Francisco CA

International Classification:

G06T 13/20
G06T 13/40
G06T 15/50
G10L 25/24
G06N 3/08
G06N 3/04

Abstract:

Systems and methods for animating from audio in accordance with embodiments of the invention are illustrated. One embodiment includes a method for generating animation from audio. The method includes steps for receiving input audio data, generating an embedding for the input audio data, and generating several predictions for several tasks from the generated embedding. The several predictions includes at least one of blendshape weights, event detection, and/or voice activity detection. The method includes steps for generating a final prediction from the several predictions, where the final prediction includes a set of blendshape weights, and generating an output based on the generated final prediction.

US Patent:

20210004979, Jan 7, 2021

Filed:

Oct 4, 2019

Appl. No.:

16/767401

Inventors:

- Mountain View CA, US
Onur G. GULERYUZ - San Francisco CA, US
Mira LEUNG - Seattle WA, US
Maksym DZITSIUK - San Francisco CA, US
Jose PASCOAL - Lisbon, PT
Mirko SCHMIDT - San Francisco CA, US
Christoph RHEMANN - Marina Del Rey CA, US
Neal WADHWA - Mountain View CA, US
Eric TURNER - Somerville MA, US
Sameh KHAMIS - Oakland CA, US
Adarsh Prakash Murthy KOWDLE - San Francisco CA, US
Ambrus CSASZAR - San Francisco CA, US
João Manuel Castro AFONSO - Lisbon, PT
Jonathan T. BARRON - Alameda CA, US
Michael SCHOENBERG - San Francisco CA, US
Ivan DRYANOVSKI - Mountain View CA, US
Vivek VERMA - Oakland CA, US
Vladimir TANKOVICH - San Francisco CA, US
Shahram IZADI - Tiburon CA, US
Sean Ryan Francesco FANELLO - San Francisco CA, US
Konstantine Nicholas John TSOTSOS - San Francisco CA, US

International Classification:

G06T 7/579
G06T 19/00

Abstract:

A handheld user device includes a monocular camera to capture a feed of images of a local scene and a processor to select, from the feed, a keyframe and perform, for a first image from the feed, stereo matching using the first image, the keyframe, and a relative pose based on a pose associated with the first image and a pose associated with the keyframe to generate a sparse disparity map representing disparities between the first image and the keyframe. The processor further is to determine a dense depth map from the disparity map using a bilateral solver algorithm, and process a viewfinder image generated from a second image of the feed with occlusion rendering based on the depth map to incorporate one or more virtual objects into the viewfinder image to generate an AR viewfinder image. Further, the processor is to provide the AR viewfinder image for display.

US Patent:

20190051001, Feb 14, 2019

Filed:

Oct 27, 2016

Appl. No.:

15/310325

Inventors:

- Mountain View CA, US
Scott Benjamin Satkin - Palo Alto CA, US
Vivek Verma - Oakland CA, US

International Classification:

G06T 7/33
G06T 7/73
G06F 3/0481
G06T 3/40

Abstract:

Aspects of the disclosure generally relate to connecting panoramic images. One or more computing devices may load and display a first panoramic image captured at a first location and receive a selection of an area on the first panoramic image, the area corresponding to where a connection to other panoramic images may be made. The one or more computing devices may identify and display one or more nearby panoramic images which were captured near the first location and receive a selection of one of the one or more nearby panoramic images. The one or more computing devices may display the selected panoramic image and the first panoramic image and align the selected panoramic image with the first panoramic image such that the selected panoramic image is oriented in the same direction as the first panoramic image. The one or more computing devices may connect the selected panoramic image with the first panoramic image.