公开(公告)号：US20240078731A1

公开(公告)日：2024-03-07

申请号：US17930257

申请日：2022-09-07

Applicant: QUALCOMM Incorporated

Inventor： Scott BEITH ,  Suzana ARELLANO ,  Michel Adib SARKIS ,  Matthew FISCHLER ,  Ke-Li CHENG ,  Stephane VILLETTE

IPC: G06T13/20 ,  G06T13/40 ,  G06V40/16

CPC classification number: G06T13/205 ,  G06T13/40 ,  G06V40/174

Abstract: A device includes a memory and one or more processors configured to process image data corresponding to a user's face to generate face data. The one or more processors are configured to process sensor data to generate feature data and to generate a representation of an avatar based on the face data and the feature data. The one or more processors are also configured to generate an audio output for the avatar based on the sensor data.

公开(公告)号：US20180103209A1

公开(公告)日：2018-04-12

申请号：US15459924

申请日：2017-03-15

Applicant: QUALCOMM Incorporated

Inventor： Matthew FISCHLER ,  Arthur Pajak ,  Mithun Kumar Ranganath ,  Sairam Sundaresan ,  Michel Adib Sarkis ,  Scott Beith

IPC: H04N5/232 ,  G06F3/0484 ,  G06F3/0481 ,  H04N13/02 ,  G06T19/00

CPC classification number: H04N5/23293 ,  G06F3/04815 ,  G06F3/04845 ,  G06F2203/04806 ,  G06T7/55 ,  G06T19/006 ,  H04N5/23222 ,  H04N5/23248 ,  H04N13/221

Abstract: Methods and apparatuses are disclosed for assisting a user in performing a three dimensional scan of an object. An example user device to assist with scanning may include a processor. The user device may further include a scanner coupled to the processor and configured to perform a three dimensional scan of an object. The user device may also include a display to display a graphical user interface, wherein the display is coupled to the processor. The user device may further include a memory coupled to the processor and the display, the memory including one or more instructions that when executed by the processor cause the graphical user interface to display a target marker for a three dimensional (3D) scan and display a scanner position marker to assist in moving the scanner to a preferred location and direction.

公开(公告)号：US20240078732A1

公开(公告)日：2024-03-07

申请号：US17930244

申请日：2022-09-07

Applicant: QUALCOMM Incorporated

Inventor： Scott BEITH ,  Suzana ARELLANO ,  Michel Adib SARKIS ,  Matthew FISCHLER ,  Ke-Li CHENG ,  Stephane VILLETTE

IPC: G06T13/40 ,  G06F3/01 ,  G06V20/40 ,  G06V40/16

CPC classification number: G06T13/40 ,  G06F3/012 ,  G06V20/41 ,  G06V40/174

Abstract: A device includes a memory and one or more processors configured to process sensor data to determine a semantical context associated with the sensor data. The one or more processors are also configured to generate adjusted face data based on the determined semantical context and face data. The adjusted face data includes an avatar facial expression that corresponds to the semantical context.

公开(公告)号：US20190114804A1

公开(公告)日：2019-04-18

申请号：US15966396

申请日：2018-04-30

Applicant: QUALCOMM Incorporated

Inventor： Sairam SUNDARESAN ,  Mithun Kumar RANGANATH ,  Matthew FISCHLER ,  Ning BI

IPC: G06T7/73 ,  G06K9/66 ,  G06K9/62 ,  G06K9/00

Abstract: Techniques and systems are provided for tracking objects in one or more images. For example, a trained network can be applied to a first image of a sequence of images to detect one or more objects in the first image. The trained network can be applied to less than all images of the sequence of images. A second image of the sequence of images and a detection result from application of the trained network to the first image are obtained. The detection result includes the detected one or more objects from the first image. A first object tracker can be applied to the second image using the detection result from application of the trained network to the first image. Applying the first object tracker can include adjusting one or more locations of one or more bounding boxes associated with the detected one or more objects in the second image to track the detected one or more objects in the second image. A second object tracker can also be applied to the second image to track at least one object of the detected one or more objects in the second image. The second object tracker is applied to more images of the sequence of images than the trained network and the first object tracker. Object tracking can be performed for the second image based on application of the first object tracker and the second object tracker.