公开(公告)号：US20200014831A1

公开(公告)日：2020-01-09

申请号：US16503910

申请日：2019-07-05

Applicant: Samsung Electronics Co., Ltd.

Inventor： Sourabh Singh YADAV ,  Pankaj Kumar BAJPAI ,  SARVESH ,  Pranav Prakash DESHPANDE ,  Lokesh Rayasandra BOREGOWDA ,  Rituparna SARKAR

IPC: H04N5/225 ,  H04N7/14 ,  H04M1/02

Abstract: A device and a method for capturing media by using a device including a plurality of flaps are provided. At least two flaps among the plurality of flaps each include at least one camera. The method includes analyzing preview images of the cameras based on a first media capture mode, adjusting a bend angle between the at least two flaps based on the analysis of the preview images to determine at least one baseline distance, and obtaining at least one media in the first capture mode at the at least one baseline distance.

公开(公告)号：US20200014836A1

公开(公告)日：2020-01-09

申请号：US16504978

申请日：2019-07-08

Applicant: Samsung Electronics Co., Ltd.

Inventor： Saikat Kumar DAS ,  Pradeep Kumar Sindhagatta KRISHNAPPA ,  Pranav Prakash DESHPANDE ,  Karthik SRINIVASAN

IPC: H04N5/235 ,  H04N5/14 ,  H04N9/04 ,  H04N9/31

Abstract: A method and apparatus for capturing images with a high degree of movements in a captured scene are provided. The method includes receiving, by an image sensor, a sequence of images including a plurality of RGB image frames and color event data, generating a plurality of pseudo color filter array (CFA) frames based on the color event data, and generating dynamic images by combining the plurality of RGB image frames and the plurality of pseudo CFA frames.

公开(公告)号：US20190279379A1

公开(公告)日：2019-09-12

申请号：US16296932

申请日：2019-03-08

Applicant: Samsung Electronics Co., Ltd.

Inventor： Karthik SRINIVASAN ,  Pradeep Kumar Sindhagatta KRISHNAPPA ,  Pranav Prakash DESHPANDE ,  Rituparna SARKAR

IPC: G06T7/50 ,  G06T7/20 ,  G06T3/40 ,  G06T5/50

Abstract: A method and apparatus are provided for performing depth estimation of an object in an image of a scene. The method includes capturing the image of a scene; obtaining, by a sensor, from the image, pixel intensity data and event data; generating an event depth map using the event data, wherein the event data includes event map data of the image and event velocity data of the image; and generating a depth map for the object in the image using the event depth map and the pixel intensity data.