SIMPLE_RADIAL_FISHEYE,RADIAL_FISHEYE,OPENCV_FISHEYE,FOV,THIN_PRISM_FISHEYE: Use these camera models for fisheye lenses and note that all other models are not really capable of modeling the distortion effects of fisheye lenses. TheFOVmodel is used by Google Project Tango (make sure to not initial...
COLMAP设定了SIMPLE_PINHOLE,PINHOLE,SIMPLE_RADIAL,RADIAL,OPENCV,FULL_OPENCV,SIMPLE_RADIAL_FISHEYE,RADIAL_FISHEYE,OPENCV_FISHEYE,FOV,THIN_PRISM_FISHEYE共11种相机模型,其中最常用的为PINHOLE,即小孔相机模型。一般正常拍摄的照片,不考虑畸变即为该模型。手动参数的情况下官方推荐OPENCV相机模型,相比PINHOLE,考虑了xy...
SIMPLE_RADIAL_FISHEYE , RADIAL_FISHEYE , OPENCV_FISHEYE , FOV , THIN_PRISM_FISHEYE :当你的相机模型是鱼眼模型的时候使用这几种相机模型(其他上述的模型都无法真正模拟鱼眼镜头的失真效果),Google Project Tango使用FOV模型,确保不将omega初始化为0. 为了获得最好的重建效果,我们需要针对自己的图片集尝试不同的...
This can also be used to more robustly deal with numerical issues in distortion computation (as we have for some of the fisheye models). The next PRs will do the equivalent for CamFromImg to return camera rays rather than image points as well as remove redundant "HasPointPositiveDepth/...
COLMAP 设定了SIMPLE_PINHOLE，PINHOLE，SIMPLE_RADIAL，RADIAL，OPENCV，FULL_OPENCV ，SIMPLE_RADIAL_FISHEYE ，RADIAL_FISHEYE，OPENCV_FISHEYE，FOV，THIN_PRISM_FISHEYE 共11种相机模型，其中最常⽤的为PINHOLE，即⼩孔相机模型。⼀般正常拍摄的照⽚，不考虑畸变即为该模型。⼿动参数的情况下官⽅推荐OPENCV...
SIMPLE_RADIAL_FISHEYE, RADIAL_FISHEYE, OPENCV_FISHEYE, FOV, THIN_PRISM_FISHEYE 不同模型含义及参数如下表所示,详见 Camera Models Camera Models Pinhole_camera_model camera_calibration_and_3d_reconstruction Structure from Motion 运动恢复结构流程如下图所示 ...
New RAD_TAN_THIN_PRISM_FISHEYE camera model in support of Meta's Project Aria devices. Replace numerical with analytical Jacobian in image undistortion for better convergence. Many more performance optimizations and other improvements. See full list of changes below. Bug Fixes Fixed non-deterministic...
// OpenCV camera model.// fx, fy, cx, cy, k1, k2, p1, p2 CAMERA_MODEL_DEFINITIONS(4, "OPENCV", 8)// OpenCV fish-eye camera model.// fx, fy, cx, cy, k1, k2, k3, k4 CAMERA_MODEL_DEFINITIONS(5, "OPENCV_FISHEYE", 8)// Full OpenCV camera model.// fx, fy, cx,...
本文的目的是根据已知相机参数的blender模型,使用colmap进行稀疏重建和稠密重建。使用的blender数据是NeRF提供的synthetic数据集中的lego模型,其中的几张图片如下: 一、数据准备 文件夹应按如下层级组织: E:\rootpath├─created│ └─sparse│ +──cameras.txt│ +──images.txt│ +──points3D.txt├─dense├─...
如果提前不知道相机内参，最好使⽤包含畸变系数的模型，默认为SIMPLE_RAIDIAL。如果已知相机没有畸变或畸变影响很⼩，建议使⽤SIMPLE_PINHOLE模型。可供选择的模型分别为 SIMPLE_PINHOLE, PINHOLE, SIMPLE_RADIAL, RADIAL, OPENCV, FULL_OPENCV,SIMPLE_RADIAL_FISHEYE, RADIAL_FISHEYE, OPENCV_FISHEYE, FOV, THIN_...