CN112348827A - 一种基于聚类算法的vr游戏***和方法 - Google Patents
一种基于聚类算法的vr游戏***和方法 Download PDFInfo
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- CN112348827A CN112348827A CN202011158295.7A CN202011158295A CN112348827A CN 112348827 A CN112348827 A CN 112348827A CN 202011158295 A CN202011158295 A CN 202011158295A CN 112348827 A CN112348827 A CN 112348827A
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- G—PHYSICS
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- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/11—Region-based segmentation
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63F—CARD, BOARD, OR ROULETTE GAMES; INDOOR GAMES USING SMALL MOVING PLAYING BODIES; VIDEO GAMES; GAMES NOT OTHERWISE PROVIDED FOR
- A63F13/00—Video games, i.e. games using an electronically generated display having two or more dimensions
- A63F13/40—Processing input control signals of video game devices, e.g. signals generated by the player or derived from the environment
- A63F13/42—Processing input control signals of video game devices, e.g. signals generated by the player or derived from the environment by mapping the input signals into game commands, e.g. mapping the displacement of a stylus on a touch screen to the steering angle of a virtual vehicle
- A63F13/428—Processing input control signals of video game devices, e.g. signals generated by the player or derived from the environment by mapping the input signals into game commands, e.g. mapping the displacement of a stylus on a touch screen to the steering angle of a virtual vehicle involving motion or position input signals, e.g. signals representing the rotation of an input controller or a player's arm motions sensed by accelerometers or gyroscopes
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- G—PHYSICS
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/23—Clustering techniques
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/011—Arrangements for interaction with the human body, e.g. for user immersion in virtual reality
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- G—PHYSICS
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Citations (13)
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CN101881615A (zh) * | 2010-05-28 | 2010-11-10 | 清华大学 | 用于驾驶安全的视觉障碍物检测方法 |
CN102774325A (zh) * | 2012-07-31 | 2012-11-14 | 西安交通大学 | 一种后视倒车辅助***和形成后视障碍图像的方法 |
CN103366367A (zh) * | 2013-06-19 | 2013-10-23 | 西安电子科技大学 | 基于像素数聚类的模糊c-均值灰度图像分割方法 |
CN103473786A (zh) * | 2013-10-13 | 2013-12-25 | 西安电子科技大学 | 基于多目标模糊聚类的灰度图像分割方法 |
CN103559716A (zh) * | 2013-11-12 | 2014-02-05 | 广州太普信息技术有限公司 | 一种缺陷图像的自动分割方法 |
CN103870845A (zh) * | 2014-04-08 | 2014-06-18 | 重庆理工大学 | 点云聚类去噪过程中新的k值优化方法 |
US20150026808A1 (en) * | 2010-01-19 | 2015-01-22 | Damballa, Inc. | Method and system for network-based detecting of malware from behavioral clustering |
CN104574368A (zh) * | 2014-12-22 | 2015-04-29 | 河海大学 | 一种自适应的核聚类图像分割方法 |
CN105430664A (zh) * | 2015-10-30 | 2016-03-23 | 上海华为技术有限公司 | 一种基于分类拟合预测传播路损的方法和装置 |
CN105652873A (zh) * | 2016-03-04 | 2016-06-08 | 中山大学 | 一种基于Kinect的移动机器人避障方法 |
CN107220977A (zh) * | 2017-06-06 | 2017-09-29 | 合肥工业大学 | 基于模糊聚类的有效性指标的图像分割方法 |
CN108284793A (zh) * | 2018-01-10 | 2018-07-17 | 深圳市鑫汇达机械设计有限公司 | 一种车辆辅助控制装置 |
CN111507145A (zh) * | 2019-01-31 | 2020-08-07 | 上海欧菲智能车联科技有限公司 | 嵌入式车载环视***库位障碍物检测方法、***及装置 |
-
2020
- 2020-10-26 CN CN202011158295.7A patent/CN112348827B/zh active Active
Patent Citations (13)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20150026808A1 (en) * | 2010-01-19 | 2015-01-22 | Damballa, Inc. | Method and system for network-based detecting of malware from behavioral clustering |
CN101881615A (zh) * | 2010-05-28 | 2010-11-10 | 清华大学 | 用于驾驶安全的视觉障碍物检测方法 |
CN102774325A (zh) * | 2012-07-31 | 2012-11-14 | 西安交通大学 | 一种后视倒车辅助***和形成后视障碍图像的方法 |
CN103366367A (zh) * | 2013-06-19 | 2013-10-23 | 西安电子科技大学 | 基于像素数聚类的模糊c-均值灰度图像分割方法 |
CN103473786A (zh) * | 2013-10-13 | 2013-12-25 | 西安电子科技大学 | 基于多目标模糊聚类的灰度图像分割方法 |
CN103559716A (zh) * | 2013-11-12 | 2014-02-05 | 广州太普信息技术有限公司 | 一种缺陷图像的自动分割方法 |
CN103870845A (zh) * | 2014-04-08 | 2014-06-18 | 重庆理工大学 | 点云聚类去噪过程中新的k值优化方法 |
CN104574368A (zh) * | 2014-12-22 | 2015-04-29 | 河海大学 | 一种自适应的核聚类图像分割方法 |
CN105430664A (zh) * | 2015-10-30 | 2016-03-23 | 上海华为技术有限公司 | 一种基于分类拟合预测传播路损的方法和装置 |
CN105652873A (zh) * | 2016-03-04 | 2016-06-08 | 中山大学 | 一种基于Kinect的移动机器人避障方法 |
CN107220977A (zh) * | 2017-06-06 | 2017-09-29 | 合肥工业大学 | 基于模糊聚类的有效性指标的图像分割方法 |
CN108284793A (zh) * | 2018-01-10 | 2018-07-17 | 深圳市鑫汇达机械设计有限公司 | 一种车辆辅助控制装置 |
CN111507145A (zh) * | 2019-01-31 | 2020-08-07 | 上海欧菲智能车联科技有限公司 | 嵌入式车载环视***库位障碍物检测方法、***及装置 |
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Address after: 518000 17th floor, block B, Sunshine Technology Innovation Center, No.2 Shanghua Road, Nanshan street, Nanshan District, Shenzhen City, Guangdong Province Patentee after: Shenzhen Ruiyun Technology Co.,Ltd. Address before: 518000 17th floor, block B, Sunshine Technology Innovation Center, No.2 Shanghua Road, Nanshan street, Nanshan District, Shenzhen City, Guangdong Province Patentee before: SHENZHEN RAYVISION TECHNOLOGY CO.,LTD. |
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Denomination of invention: A VR game system and method based on clustering algorithm Effective date of registration: 20230619 Granted publication date: 20210713 Pledgee: Shenzhen hi tech investment small loan Co.,Ltd. Pledgor: Shenzhen Ruiyun Technology Co.,Ltd. Registration number: Y2023980044570 |
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