CN110300991A - 表面图形确定方法和装置 - Google Patents
表面图形确定方法和装置 Download PDFInfo
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- CN110300991A CN110300991A CN201880012035.3A CN201880012035A CN110300991A CN 110300991 A CN110300991 A CN 110300991A CN 201880012035 A CN201880012035 A CN 201880012035A CN 110300991 A CN110300991 A CN 110300991A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
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- 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
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/70—Determining position or orientation of objects or cameras
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- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Image Processing (AREA)
Abstract
一种表面图形确定方法,包括:获取多张目标区域的深度图像;计算每张深度图像中像素的置信度;确定目标帧图像中像素的权值;确定像素对应的空间位置信息;针对每张深度图像中的每个像素,确定像素对应的体素;通过截断符号距离函数算法,根据像素的权值对每张深度图像中的每个像素对应的体素的值进行迭代,以确定体素中处于目标区域中的物体的表面的表面体素;对表面体素进行拟合,以确定物体的表面的图形。还包括一种表面图形确定装置,一种机器可读存储介质和一种无人飞行器。上述方法可以根据多张深度图像来生成物体表面的图形,使得计算结果鲁棒性更强,并且使得生成的图形更符合人眼的观看习惯,便于操作者根据显示的图形快速且准确地确定目标区域的地形。
Description
PCT国内申请,说明书已公开。
Claims (16)
- PCT国内申请,权利要求书已公开。
Applications Claiming Priority (1)
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PCT/CN2018/073839 WO2019144281A1 (zh) | 2018-01-23 | 2018-01-23 | 表面图形确定方法和装置 |
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CN201880012035.3A Pending CN110300991A (zh) | 2018-01-23 | 2018-01-23 | 表面图形确定方法和装置 |
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CN (1) | CN110300991A (zh) |
WO (1) | WO2019144281A1 (zh) |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112712477A (zh) * | 2020-12-21 | 2021-04-27 | 东莞埃科思科技有限公司 | 结构光模组的深度图像评价方法及其装置 |
WO2023035509A1 (zh) * | 2021-09-13 | 2023-03-16 | 浙江商汤科技开发有限公司 | 网格生成方法、装置、电子设备、计算机可读存储介质、计算机程序及计算机程序产品 |
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CN106441286B (zh) * | 2016-06-27 | 2019-11-19 | 上海大学 | 基于bim技术的无人机隧道巡检系统 |
CN106651926A (zh) * | 2016-12-28 | 2017-05-10 | 华东师范大学 | 一种基于区域配准的深度点云三维重建方法 |
CN106846461B (zh) * | 2016-12-30 | 2019-12-03 | 西安交通大学 | 一种人体三维扫描方法 |
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2018
- 2018-01-23 WO PCT/CN2018/073839 patent/WO2019144281A1/zh active Application Filing
- 2018-01-23 CN CN201880012035.3A patent/CN110300991A/zh active Pending
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US5831621A (en) * | 1996-10-21 | 1998-11-03 | The Trustees Of The University Of Pennyslvania | Positional space solution to the next best view problem |
GB9823689D0 (en) * | 1998-10-30 | 1998-12-23 | Greenagate Limited | Improved methods and apparatus for 3-D imaging |
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WO2016100877A1 (en) * | 2014-12-19 | 2016-06-23 | Datalogic ADC, Inc. | Depth camera system using coded structured light |
WO2016176410A1 (en) * | 2015-04-29 | 2016-11-03 | University Of Pittsburgh - Of The Commonwealth System Of Higher Education | Image enhancement using virtual averaging |
US9818181B1 (en) * | 2015-07-24 | 2017-11-14 | Bae Systems Information And Electronic Systems Integration Inc. | Shearogram generation algorithm for moving platform based shearography systems |
CN105225241A (zh) * | 2015-09-25 | 2016-01-06 | 广州极飞电子科技有限公司 | 无人机深度图像的获取方法及无人机 |
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JP2017228111A (ja) * | 2016-06-23 | 2017-12-28 | エスゼット ディージェイアイ テクノロジー カンパニー リミテッドSz Dji Technology Co.,Ltd | 無人航空機、無人航空機の制御方法、および無人航空機の制御プログラム |
Non-Patent Citations (2)
Title |
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BANG-HWAN KIM,ET AL.: "Multi-image photometric stereo using surface approximation by legendre polynomials", 《PATTERN RECOGNITION》 * |
刘肖云: "粗集料表面纹理曲线图形分形维数MATLAB算法研究", 《交通科技》 * |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112712477A (zh) * | 2020-12-21 | 2021-04-27 | 东莞埃科思科技有限公司 | 结构光模组的深度图像评价方法及其装置 |
WO2023035509A1 (zh) * | 2021-09-13 | 2023-03-16 | 浙江商汤科技开发有限公司 | 网格生成方法、装置、电子设备、计算机可读存储介质、计算机程序及计算机程序产品 |
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