公开(公告)号：US20210334516A1

公开(公告)日：2021-10-28

申请号：US16859836

申请日：2020-04-27

Applicant: QUALCOMM Incorporated

Inventor： Upal MAHBUB ,  Rakesh NATTOJI RAJARAM ,  Vasudev BHASKARAN

IPC: G06K9/00 ,  G06K9/62 ,  G06N3/08

Abstract: A method is presented. The method includes determining a number of landmarks in an image comprising multiple pixels. The method also includes determining a number of channels for the image based on a function of the number of landmarks. The method further includes determining, for each one of the number of channels, a confidence of each pixel of the multiple pixels corresponding to a landmark. The method still further includes identifying the landmark in the image based on the confidence.

公开(公告)号：US20190333229A1

公开(公告)日：2019-10-31

申请号：US16509043

申请日：2019-07-11

Applicant: QUALCOMM Incorporated

Inventor： Gokce DANE ,  Vasudev BHASKARAN

IPC: G06T7/20 ,  G06T7/507 ,  G06K9/00 ,  G06T7/50 ,  G06T7/11

Abstract: A method performed by an electronic device is described. The method includes generating a depth map of a scene external to a vehicle. The method also includes performing first processing in a first direction of a depth map to determine a first non-obstacle estimation of the scene. The method also includes performing second processing in a second direction of the depth map to determine a second non-obstacle estimation of the scene. The method further includes combining the first non-obstacle estimation and the second non-obstacle estimation to determine a non-obstacle map of the scene. The combining includes combining comprises selectively using a first reliability map of the first processing and/or a second reliability map of the second processing The method additionally includes navigating the vehicle using the non-obstacle map.

公开(公告)号：US20250117876A1

公开(公告)日：2025-04-10

申请号：US18481909

申请日：2023-10-05

Applicant: QUALCOMM Incorporated

Inventor： Shivansh RAO ,  Arunkumar NEHRUR RAVI ,  Gokce DANE ,  Ai-Mei HUANG ,  Vasudev BHASKARAN ,  Anil Kumar GOKAVARAPU

IPC: G06T1/60 ,  G06T15/00 ,  G06T17/10

Abstract: Aspects of the disclosure are directed to reordering a plurality of input block voxel indices in a cache memory. In accordance with one aspect, an apparatus including a create block configured to receive the plurality of input block voxel indices and configured to generate a reordered list based on the plurality of input block voxel indices; and an integrate block coupled to the create block, the integrate block configured to use the reordered list to deliver integrate depth data for generating a plurality of output block voxel indices. In accordance with one aspect, a method including reordering the plurality of input block voxel indices into a plurality of output block voxel indices using a separated set of input block voxel indices; and accessing the plurality of output block voxel indices to provide an augmented cache memory access.

公开(公告)号：US20210166070A1

公开(公告)日：2021-06-03

申请号：US16700219

申请日：2019-12-02

Applicant: QUALCOMM Incorporated

Inventor： Upal MAHBUB ,  RAKESH NATTOJI RAJARAM ,  Vasudev BHASKARAN

IPC: G06K9/62 ,  G06N3/08 ,  G06N3/04

Abstract: Embodiments include systems and methods for keypoint detection in an image. In embodiments, a processor of a computing device may apply to an image a first neural network that has been trained to define and output a plurality of regions. The processor may apply to each of the plurality of regions a respective second neural network to that has been trained to output a plurality of keypoints in each of the plurality of regions. The processor may apply to the plurality of keypoints a third neural network that has been trained to determine a correction for each of the plurality of keypoints to provide corrected keypoints suitable for the execution of an image processing function.

公开(公告)号：US20250094535A1

公开(公告)日：2025-03-20

申请号：US18469424

申请日：2023-09-18

Applicant: QUALCOMM Incorporated

Inventor： Shivansh RAO ,  Sweta PRIYADARSHI ,  Varun RAVI KUMAR ,  Senthil Kumar YOGAMANI ,  Arunkumar NEHRUR RAVI ,  Vasudev BHASKARAN

IPC: G06F18/213 ,  H04W4/38 ,  H04W4/46

Abstract: According to aspects described herein, a device can extract first features from frames of first sensor data and second features from frames of second sensor data (captured after the first sensor data). The device can obtain first weighted features based on the first features and second weighted features based on the second features. The device can aggregate the first weighted features to determine a first feature vector and the second weighted features to determine a second feature vector. The device can obtain a first transformed feature vector (based on transforming the first feature vector into a coordinate space) and a second transformed feature vector (based on transforming the second feature vector into the coordinate space). The device can aggregate first transformed weighted features (based on the first transformed feature vector) and second transformed weighted features (based on the second transformed feature vector) to determine a fused feature vector.

公开(公告)号：US20240430383A1

公开(公告)日：2024-12-26

申请号：US18340203

申请日：2023-06-23

Applicant: QUALCOMM Incorporated

Inventor： Vinesh SUKUMAR ,  Jonathan KIES ,  Vikram GUPTA ,  Tong TANG ,  Ananthapadmanabhan Arasanipalai KANDHADAI ,  Vasudev BHASKARAN

IPC: H04N7/15 ,  G06T17/00 ,  G06V40/16 ,  G06V40/20

Abstract: Embodiment systems and methods for dynamically rendering elements in a virtual environment rendered by the computing device may include monitoring interactions of participants in a virtual environment related to an element or elements presented in the virtual environment, identifying an agreement about the element or elements between at least two of the participants based on the interactions, and altering a presentation of the element or elements in the virtual environment based on the agreement by at least two of the participants.

公开(公告)号：US20250086877A1

公开(公告)日：2025-03-13

申请号：US18465930

申请日：2023-09-12

Applicant: QUALCOMM Incorporated

Inventor： Adithya Reddy NALLABOLU ,  Gokce DANE ,  Vasudev BHASKARAN

IPC: G06T15/08

Abstract: This disclosure provides systems, devices, apparatus, and methods, including computer programs encoded on storage media, for content adaptive 3D reconstruction. A graphics processor may compute a curvature of content in a block volume that represents a 3D scene, where the block volume includes a set of voxels. The graphics processor may select a number of the set of voxels in the block volume based on the computed curvature of the content. The graphics processor may output an indication of the selected number of the set of voxels in the block volume.

公开(公告)号：US20220076059A1

公开(公告)日：2022-03-10

申请号：US17455883

申请日：2021-11-19

Applicant: QUALCOMM Incorporated

Inventor： Upal MAHBUB ,  Rakesh NATTOJI RAJARAM ,  Vasudev BHASKARAN

IPC: G06K9/62 ,  G06N3/04 ,  G06K9/00 ,  G06T7/11 ,  G06T5/00

Abstract: Embodiments include systems and methods that may be performed by a processor of a computing device. Embodiments may be applied for keypoint detection in an image. In embodiments, the processor of the computing device may apply to an image a first-stage neural network to define and output a plurality of regions, apply to each of the plurality of regions a respective second-stage neural network to output a plurality of keypoints in each of the plurality of regions, and apply to the plurality of keypoints a third-stage neural network to determine a correction for each of the plurality of keypoints to provide corrected keypoints.