基本信息:
- 专利标题： OBJECT RECOGNITION NEURAL NETWORK FOR AMODAL CENTER PREDICTION
- 申请号：PCT/US2021/038971 申请日：2021-06-24
- 公开(公告)号：WO2021263035A1 公开(公告)日：2021-12-30
- 发明人： MAHENDRAN, Siddharth , BANSAL, Nitin , SEKHAR, Nitesh , GANGWAR, Manushree , GUPTA, Khushi , SINGHAL, Prateek
- 申请人： MAGIC LEAP, INC.
- 申请人地址： 7500 W. Sunrise Blvd
- 专利权人： MAGIC LEAP, INC.
- 当前专利权人： MAGIC LEAP, INC.
- 当前专利权人地址： 7500 W. Sunrise Blvd
- 代理机构： WANG, Jiao et al.
- 优先权： US63/043,463 2020-06-24
- 主分类号： G06K9/62
- IPC分类号： G06K9/62 ; G06N3/08 ; G06K9/46 ; G06T7/00 ; G06T19/00 ; G06K9/6261 ; G06K9/6267 ; G06N3/04 ; G06T19/006 ; G06T2207/20084 ; G06T7/60 ; G06T7/73
摘要：
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for object recognition neural network for amodal center prediction. One of the methods includes receiving an image of an object captured by a camera. The image of the object is processed using an object recognition neural network that is configured to generate an object recognition output. The object recognition output includes data defining a predicted two-dimensional amodal center of the object, wherein the predicted two-dimensional amodal center of the object is a projection of a predicted three-dimensional center of the object under a camera pose of the camera that captured the image.
IPC结构图谱:
| G | 物理 |
| --G06 | 计算；推算；计数 |
| ----G06K | 数据识别；数据表示；记录载体；记录载体的处理 |
| ------G06K9/00 | 用于阅读或识别印刷或书写字符或者用于识别图形，例如，指纹的方法或装置 |
| --------G06K9/62 | .应用电子设备进行识别的方法或装置 |