公开(公告)号：US20190147221A1

公开(公告)日：2019-05-16

申请号：US15946669

申请日：2018-04-05

Applicant: QUALCOMM TECHNOLOGIES INC.

Inventor： Alexander GRABNER ,  Peter Michael ROTH ,  Vincent LEPETIT

IPC: G06K9/00 ,  G06T19/00 ,  G06K9/62 ,  G06T7/73

Abstract: Techniques are provided for selecting a three-dimensional model. An input image including an object can be obtained, and a pose of the object in the input image can be determined. One or more candidate three-dimensional models representing one or more objects in the determined pose can be obtained. From the one or more candidate three-dimensional models, a candidate three-dimensional model can be determined to represent the object in the input image.

公开(公告)号：US20220301304A1

公开(公告)日：2022-09-22

申请号：US17457408

申请日：2021-12-02

Applicant: QUALCOMM Technologies, Inc.

Inventor： Shreyas HAMPALI ,  Vincent LEPETIT ,  Clemens ARTH

IPC: G06V20/20 ,  G06T7/73 ,  G06V40/10 ,  G06T9/00 ,  G06T7/80 ,  G06T7/50 ,  G06T19/00 ,  G06V10/40 ,  G06V10/82 ,  G06K9/62 ,  G06N3/04

Abstract: Systems and techniques are provided for determining one or more poses of one or more objects. For example, a process can include determining, using a machine learning system, a plurality of keypoints from an image. The plurality of keypoints are associated with at least one object in the image. The process can include determining a plurality of features from the machine learning system based on the plurality of keypoints. The process can include classifying the plurality of features into a plurality of joint types. The process can include determining pose parameters for the at least one object based on the plurality of joint types.

公开(公告)号：US20220156426A1

公开(公告)日：2022-05-19

申请号：US17454020

申请日：2021-11-08

Applicant: QUALCOMM Technologies, Inc.

Inventor： Shreyas HAMPALI ,  Sinisa STEKOVIC ,  Friedrich FRAUNDORFER ,  Vincent LEPETIT

IPC: G06F30/13 ,  G06T17/20 ,  G06T7/55

Abstract: Systems and techniques are provided for determining environmental layouts. For example, based on one or more images of an environment and depth information associated with the one or more images, a set of candidate layouts and a set of candidate objects corresponding to the environment can be detected. The set of candidate layouts and set of candidate objects can be organized as a structured tree. For instance, a structured tree can be generated including nodes corresponding to the set of candidate layouts and the set of candidate objects. A combination of objects and layouts can be selected in the structured tree (e.g., based on a search of the structured tree, such as using a Monte-Carlo Tree Search (MCTS) algorithm or adapted MCTS algorithm). A three-dimensional (3D) layout of the environment can be determined based on the combination of objects and layouts in the structured tree.