公开(公告)号：US20250078547A1

公开(公告)日：2025-03-06

申请号：US18461366

申请日：2023-09-05

Applicant: QUALCOMM Incorporated

Inventor： Hyojin Park ,  Jisoo Jeong ,  Hong Cai ,  Fatih Murat Porikli

IPC: G06V20/70 ,  G05D1/02 ,  G06V10/62 ,  G06V10/77 ,  G06V10/774 ,  G06V10/776 ,  G06V10/82 ,  G06V20/40

Abstract: An example system include one or more memories and one or more processors coupled to the one or more memories. The one or more processors are configured to perform a first segmentation operation on a previous frame of image data to generate first segmentation data. The one or more processors are configured to perform a deformable convolution operation based on the first segmentation data to generate a deformable convolution output. The one or more processors are configured to perform a second segmentation operation on a current frame of image data to generate second segmentation data. The one or more processors are configured to combine the deformable convolution output with the second segmentation data to generate third segmentation data and control operation of a device based on the third segmentation data.

公开(公告)号：US12229883B2

公开(公告)日：2025-02-18

申请号：US18177028

申请日：2023-03-01

Applicant: QUALCOMM Incorporated

Inventor： Minghua Liu ,  Yinhao Zhu ,  Hong Cai ,  Fatih Murat Porikli ,  Hao Su

IPC: G06T17/00 ,  G06T7/12 ,  G06V10/25 ,  G06V20/70

Abstract: Systems and techniques are provided for part segmentation. For example, a process for performing part segmentation can include obtaining a three-dimensional capture of an object. The method can include generating one or more two-dimensional images of the object from the three-dimensional capture of the object. The method can further include processing the one or more two-dimensional images of the object to generate at least one two-dimensional bounding box associated with a part of the object. The method can include performing three-dimensional part segmentation of the part of the object based on a three-dimensional point cloud generated from the one or more two-dimensional images of the object and the at least one two-dimensional bounding box and based on semantically labeled super points which are merged into subgroups associated with the part of the object.

公开(公告)号：US12260571B2

公开(公告)日：2025-03-25

申请号：US17650027

申请日：2022-02-04

Applicant: QUALCOMM Incorporated

Inventor： Hong Cai ,  Shichong Peng ,  Janarbek Matai ,  Jamie Menjay Lin ,  Debasmit Das ,  Fatih Murat Porikli

IPC: G06K9/00 ,  G06N3/045 ,  G06T7/10 ,  G06T7/50

Abstract: Certain aspects of the present disclosure provide techniques for generating fine depth maps for images of a scene based on semantic segmentation and segment-based refinement neural networks. An example method generally includes generating, through a segmentation neural network, a segmentation map based on an image of a scene. The segmentation map generally comprises a map segmenting the scene into a plurality of regions, and each region of the plurality of regions is generally associated with one of a plurality of categories. A first depth map of the scene is generated through a first depth neural network based on a depth measurement of the scene. A second depth map of the scene is generated through a depth refinement neural network based on the segmentation map and the first depth map. One or more actions are taken based on the second depth map of the scene.