| 1. | Close - range photogrammetric system based on reference points
一种基于标记点的近景摄影测量系统 |
| 2. | 3d reconstruction from multiple perspective views with marked points
基于标记点的多帧透视图像三维重建算法 |
| 3. | Here is the main job : the human key points in the images should be recognised at first
具体工作如下：首先要对图像中人体标记点进行识别。 |
| 4. | Earth - moving machinery , and tractors and machinery for agriculture and forestry . seat index point
土方机械拖拉机和农林机械.座位定位标记点 |
| 5. | Reconstruction and camera poses recovery from multi self - calibration images with marked point occlusions
基于标记点丢失的多幅自标定图像的3维重建和相机姿态恢复 |
| 6. | Applying the presented algorithms , the information of markers in natural background is obtained accurately , and successfully extracted target image property information in experiments
使得将处于自然背景下的标记点信息准确地获取到，并应用于实验中的图像特征信息提取。 |
| 7. | Then you ' ll see a series of dvd markers in the ruler area of the timeline , small shiny little gray orbs with blue arrows at the bottom , marking the beginning of each scene
然后你会看到时间标尺区域会有一系列的dvd标记点，淡灰色的水晶质感并有一个朝下的蓝色的箭头，标记在每一段视频的开头部分。 |
| 8. | After the algorithms of phase unwrapping is studied , a new phase unwrapping method with flexible marking points is proposed . thus , the effects of noise , height mutation and also shadow can be avoided
研究了相位展开算法，提出了基于边缘检测的柔性多标记点解相方法，克服了传统解相方法在遇到噪声时的不足之处，初步解决了高度突变、阴影对相位展开的影响。 |
| 9. | The work to recognize the key points is so heavy that it ' s better to do it by computer automatically . my classmate is doing the research now . in my research , the computer can recognise quickly the key points of the images which are marked in advance
由于人工识别标记点劳动繁重，我们采用计算机自动识别，此部分由我的同门正在研究；而我的论文中对已经标识出的关节点的图像可进行快速识别，而且可以人工修正。 |
| 10. | This paper stated how surgical robot uses binocular vision system to get three - dimensional position and orientation of the laryngoscope through gathering the three - dimensional coordinates of three marked points on the laryngoscope , and then the research of cmera calibration experiment and vision guidance experiment before the animal operation were done
摘要详细论述了医疗机器人如何利用双目视觉系统，通过采集喉镜上3个标记点的三维坐标，获得喉部手术前支撑喉镜的三维位姿信息，并进行了摄像机标定实验与动物手术前视觉导引实验的研究。 |
