公开(公告)号：US20240265561A1

公开(公告)日：2024-08-08

申请号：US18638346

申请日：2024-04-17

Applicant: NVIDIA Corporation

Inventor： Orazio Gallo ,  Abhishek Badki

IPC: G06T7/55 ,  G06F17/16 ,  G06F18/214 ,  G06N20/00 ,  G06T15/10 ,  G06T17/20

CPC classification number: G06T7/55 ,  G06F17/16 ,  G06F18/214 ,  G06N20/00 ,  G06T15/10 ,  G06T17/205

Abstract: One embodiment of a method includes predicting one or more three-dimensional (3D) mesh representations based on a plurality of digital images, wherein the one or more 3D mesh representations are refined by minimizing at least one difference between the one or more 3D mesh representations and the plurality of digital images.

公开(公告)号：US11995854B2

公开(公告)日：2024-05-28

申请号：US16226329

申请日：2018-12-19

Applicant: NVIDIA CORPORATION

Inventor： Orazio Gallo ,  Abhishek Badki

IPC: G06T7/55 ,  G06F17/16 ,  G06F18/214 ,  G06N20/00 ,  G06T15/10 ,  G06T17/20

CPC classification number: G06T7/55 ,  G06F17/16 ,  G06F18/214 ,  G06N20/00 ,  G06T15/10 ,  G06T17/205

Abstract: One embodiment of a method includes predicting one or more three-dimensional (3D) mesh representations based on a plurality of digital images, wherein the one or more 3D mesh representations are refined by minimizing at least one difference between the one or more 3D mesh representations and the plurality of digital images.

公开(公告)号：US20250022290A1

公开(公告)日：2025-01-16

申请号：US18349853

申请日：2023-07-10

Applicant: NVIDIA Corporation

Inventor： Sakthivel SIVARAMAN ,  Arjun Guru ,  Rajath Shetty ,  Umar Iqbal ,  Orazio Gallo ,  Hang Su ,  Abhishek Badki ,  Varsha Hedau

IPC: G06V20/59 ,  G06T7/50 ,  G06T17/00

Abstract: In various examples, image-based three-dimensional occupant assessment for in-cabin monitoring systems and applications are provided. An evaluation function may determine a 3D representation of an occupant of a machine by evaluating sensor data comprising an image frame from an optical image sensor. The 3D representation may comprise at least one characteristic representative of a size of the occupant, (e.g., a 3D pose and/or 3D shape), which may be used to derive other characteristics such as, but not limited to weight, height, and/or age. A first processing path may generate a representation of one or more features corresponding to at least a portion of the occupant based on optical image data, and a second processing path may determine a depth corresponding to the one or more features based on depth data derived from the optical image data and ground truth depth data corresponding to the interior of the machine.

公开(公告)号：US20210183088A1

公开(公告)日：2021-06-17

申请号：US16714359

申请日：2019-12-13

Applicant: NVIDIA Corporation

Inventor： Orazio Gallo ,  Abhishek Badki ,  Alejandro Troccoli

IPC: G06T7/55 ,  G06N3/04 ,  G06N3/08 ,  G06T7/70

Abstract: Apparatuses, systems, and techniques to identify object distance with one or more cameras. In at least one embodiment, one or more cameras capture at least two images, where one image is transformed to the other, and a neural network determines whether said object is in front of or behind a known distance, whereby an object's distance may be determined after a set of known distances are analyzed.