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CN110168562A - 基于深度的控制方法、基于深度的控制装置和电子装置 - Google Patents

基于深度的控制方法、基于深度的控制装置和电子装置 Download PDF

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Publication number
CN110168562A
CN110168562A CN201780081705.2A CN201780081705A CN110168562A CN 110168562 A CN110168562 A CN 110168562A CN 201780081705 A CN201780081705 A CN 201780081705A CN 110168562 A CN110168562 A CN 110168562A
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human face
face region
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CN201780081705.2A
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CN110168562B (zh
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孙剑波
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Guangdong Oppo Mobile Telecommunications Corp Ltd
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Guangdong Oppo Mobile Telecommunications Corp Ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration
    • G06T5/90—Dynamic range modification of images or parts thereof
    • G06T5/92—Dynamic range modification of images or parts thereof based on global image properties
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/103—Static body considered as a whole, e.g. static pedestrian or occupant recognition
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration
    • G06T5/50—Image enhancement or restoration using two or more images, e.g. averaging or subtraction
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/12—Edge-based segmentation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/13—Edge detection
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/50—Depth or shape recovery
    • G06T7/521—Depth or shape recovery from laser ranging, e.g. using interferometry; from the projection of structured light
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/107—Static hand or arm
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16—Human faces, e.g. facial parts, sketches or expressions
    • G06V40/161—Detection; Localisation; Normalisation
    • G06V40/162—Detection; Localisation; Normalisation using pixel segmentation or colour matching
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16—Human faces, e.g. facial parts, sketches or expressions
    • G06V40/161—Detection; Localisation; Normalisation
    • G06V40/164—Detection; Localisation; Normalisation using holistic features
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10028—Range image; Depth image; 3D point clouds
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30196—Human being; Person
    • G06T2207/30201—Face
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16—Human faces, e.g. facial parts, sketches or expressions
    • G06V40/161—Detection; Localisation; Normalisation

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Human Computer Interaction (AREA)
  • Multimedia (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Optics & Photonics (AREA)
  • Image Analysis (AREA)
  • Studio Devices (AREA)
  • Image Processing (AREA)

Abstract

本发明公开了一种基于深度的控制方法，用于基于电子装置(100)的成像装置(20)采集的场景数据控制电子装置(100)。控制方法包括：(S11)处理场景数据以识别人脸区域；(S13)处理场景数据以获取人脸区域的深度信息；(S15)根据人脸区域和深度信息确定人像区域；(S17)根据人像区域控制电子装置(100)。本发明还公开了一种基于深度的控制装置(10)和电子装置(100)。本发明实施方式的基于深度的控制方法、基于深度的控制装置(10)和电子装置(100)基于深度信息识别人像区域，避免采用传统的基于灰度图像识别人像区域过程中易受亮度等环境因素影响的问题，提升人像识别的准确性，并基于准确识别后的人像区域进行处理，提升图像的处理效果。

Description

PCT国内申请，说明书已公开。

Claims (69)

  1. PCT国内申请，权利要求书已公开。
CN201780081705.2A 2017-03-09 2017-03-09 基于深度的控制方法、基于深度的控制装置和电子装置 Active CN110168562B (zh)

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CN112446842A (zh) * 2019-08-28 2021-03-05 深圳市光鉴科技有限公司 基于稀疏和稠密深度图图像重建方法、系统、设备及介质
CN111915539A (zh) * 2020-07-14 2020-11-10 维沃移动通信有限公司 图像处理方法及装置
CN113971822A (zh) * 2020-07-22 2022-01-25 武汉Tcl集团工业研究院有限公司 一种人脸检测方法、智能终端及存储介质
CN116485786A (zh) * 2023-06-15 2023-07-25 贵州医科大学附属医院 一种内分泌试纸智能分析方法
CN116485786B (zh) * 2023-06-15 2023-09-01 贵州医科大学附属医院 一种内分泌试纸智能分析方法

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Publication number Publication date
US11227368B2 (en) 2022-01-18
US20190392564A1 (en) 2019-12-26
CN110168562B (zh) 2023-06-09
EP3588363A4 (en) 2020-05-27
WO2018161289A1 (zh) 2018-09-13
EP3588363A1 (en) 2020-01-01

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