JP2022082020A5 - - Google Patents
Download PDFInfo
- Publication number
- JP2022082020A5 JP2022082020A5 JP2020193311A JP2020193311A JP2022082020A5 JP 2022082020 A5 JP2022082020 A5 JP 2022082020A5 JP 2020193311 A JP2020193311 A JP 2020193311A JP 2020193311 A JP2020193311 A JP 2020193311A JP 2022082020 A5 JP2022082020 A5 JP 2022082020A5
- Authority
- JP
- Japan
- Prior art keywords
- image processing
- processing device
- determining
- vertices
- polygon
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000000034 method Methods 0.000 claims 2
- 238000003672 processing method Methods 0.000 claims 1
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP2020193311A JP7614801B2 (ja) | 2020-11-20 | 2020-11-20 | 画像処理装置、画像処理方法及びプログラム |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP2020193311A JP7614801B2 (ja) | 2020-11-20 | 2020-11-20 | 画像処理装置、画像処理方法及びプログラム |
Publications (3)
| Publication Number | Publication Date |
|---|---|
| JP2022082020A JP2022082020A (ja) | 2022-06-01 |
| JP2022082020A5 true JP2022082020A5 (https=) | 2023-11-20 |
| JP7614801B2 JP7614801B2 (ja) | 2025-01-16 |
Family
ID=81801436
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2020193311A Active JP7614801B2 (ja) | 2020-11-20 | 2020-11-20 | 画像処理装置、画像処理方法及びプログラム |
Country Status (1)
| Country | Link |
|---|---|
| JP (1) | JP7614801B2 (https=) |
Families Citing this family (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20230377272A1 (en) * | 2018-05-04 | 2023-11-23 | Signaturize Holdings Ltd | Generating Virtual Representations |
| JP7818023B2 (ja) * | 2024-01-30 | 2026-02-19 | 任天堂株式会社 | 情報処理プログラム、情報処理システム、情報処理装置、および、情報処理方法 |
| JP7836863B2 (ja) * | 2024-08-07 | 2026-03-27 | 任天堂株式会社 | ゲームプログラム、情報処理システム、情報処理装置、および、ゲーム処理方法 |
| JP2025113134A (ja) * | 2024-09-03 | 2025-08-01 | 任天堂株式会社 | ゲームプログラム、ゲーム処理方法、情報処理システム、および、情報処理装置 |
-
2020
- 2020-11-20 JP JP2020193311A patent/JP7614801B2/ja active Active
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| JP2022082020A5 (https=) | ||
| US12430851B2 (en) | Synthesizing high resolution 3D shapes from lower resolution representations for synthetic data generation systems and applications | |
| CN102272798B (zh) | 曲面细分时间随曲面细分量线性增长的镶嵌器 | |
| US11734890B2 (en) | Three-dimensional model recovery from two-dimensional images | |
| US20210074052A1 (en) | Three-dimensional (3d) rendering method and apparatus | |
| US12223583B2 (en) | Rendering a scene using secondary ray tracing | |
| US8368714B2 (en) | Curved surface rendering system and method | |
| CN109767495A (zh) | 3d部件的增材制造 | |
| US11024073B2 (en) | Method and apparatus for generating virtual object | |
| EP4099208A1 (en) | Deep parameterization for 3d shape optimization | |
| GB2405775A (en) | 3D computer surface model generation | |
| JP5342761B2 (ja) | 粒子法に基づく流体シミュレーションの表面構築方法、そのプログラム、およびそのプログラムを格納した記憶媒体 | |
| US12450818B2 (en) | Machine-learning based collision detection for objects in virtual environments | |
| JP2015122068A (ja) | Ｃａｄベースの初期表面形状補正 | |
| KR20110016938A (ko) | 기하 셰이더를 사용하는 테셀레이션 엔진을 위한 시스템, 방법, 및 컴퓨터 프로그램 제품 | |
| CN103106690A (zh) | 曲面处理系统及方法 | |
| CN111768353A (zh) | 一种三维模型的孔洞填补方法及装置 | |
| Lin et al. | Affine arithmetic-based b-spline surface intersection with gpu acceleration | |
| US9665955B1 (en) | Pose-space shape fitting | |
| Romanyuk et al. | Accelerated Vector Normalization for Rendering Tasks | |
| CN115099025A (zh) | 在流体模型中计算流体流速的方法、电子设备及存储介质 | |
| CN115699094A (zh) | 从低分辨率表示合成高分辨率3d形状的合成数据生成系统和应用 | |
| US20260120238A1 (en) | Up-resolution of signed distance field (sdf) voxels | |
| CN115661379B (zh) | 用于对三维图像数据进行去噪的方法、设备和存储介质 | |
| US20260094375A1 (en) | Generating three-dimensional (3d) images from images using machine learning models |