公开(公告)号：US10593056B2

公开(公告)日：2020-03-17

申请号：US15860930

申请日：2018-01-03

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Jacek Konieczny ,  Marek Domański ,  Jakub Siast ,  Adam Łuczak ,  Olgierd Stankiewicz ,  Krzysztof Wegner

IPC: G06T7/593 ,  G06T7/55

Abstract: The disclosure relates to an image processing apparatus for selecting a plurality of depth information values for a subset of currently processed fragments of a set of currently processed fragments of a currently processed digital image. The image processing apparatus includes a non-transitory memory storage comprising instructions and one or more hardware processors in communication with the memory storage. The one or more hardware processors execute the instructions to: process the currently processed fragments of the set of currently processed fragments in parallel; and process the currently processed fragments of the subset of currently processed fragments in parallel.

公开(公告)号：US20180144491A1

公开(公告)日：2018-05-24

申请号：US15860662

申请日：2018-01-03

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Jacek KONIECZNY ,  Marek Domanski ,  Olgierd Stankiewicz ,  Krzysztof Wegner ,  Adam Luczak

IPC: G06T7/55

CPC classification number: G06T7/55 ,  G06T2207/10012 ,  G06T2207/10028 ,  G06T2207/20228

Abstract: The present disclosure can provide an image processing apparatus. In some embodiments, the image processing apparatus in accordance with the disclosure comprises memory configured to store a previously selected depth information value (dprev), (dprev; dprevi) having been selected for a previously processed fragment and signal processing logic (103). The signal processing logic is configured to calculate a similarity measure for the current fragment based on a depth information value candidate defining a reference fragment candidate of a digital reference image, compare the depth information value candidate with the previously selected depth information value (dprev), apply a weighting function to the calculated similarity measure to obtain a weighted similarity measure for the current fragment based on the comparison, and determine whether to select the depth information value candidate as the depth information value (dbest) for the current fragment based on the weighted similarity measure of the depth information value candidate.