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Look at these references: Tutorial on Visual Odometry - by Davide Scaramuzza

I am not aware of any historical performance data stored somewhere for the OpenCV buildbots. And I doubt performance dat

Without at least intensity information for the pointcloud, the only common information between image and pointcloud shou

Without at least intensity information for the pointcloud, the only common information between image and pointcloud shou

Do you have pointcloud information with intensity (pcl::PointXYZI) or RGB (e.g. pcl::PointXYZRGB) data? If you have at

You can directly do: Mat mat1(..); Mat mat2(..);

For a computer vision book: Computer Vision: Algorithms and Applications, 2nd ed., Richard Szeliski

Easiest thing is to use the Eigen library to handle these kind of conversions. Look at Eigen::AngleAxisd and Eigen::Quat

Easiest thing is to use the Eigen library to handle these kind of conversions. Look at Eigen::AngleAxisd and Eigen::Quat

You definitively do not need to copy any DLLs or copy any Python packages. You don't need to copy so on Linux, it is sim

I just tried it successfully: install Python on Windows: https://www.python.org/downloads/ after the installation, you

Perform calibration on downscaled images and scale the intrinsics matrix.

A comment about the calibration process. I've found information, that the circles grid algorithm is better Calibra

What I would do: remove Python OpenCV installed by pip build OpenCV with Python bindings, can be done easily even on W

How did you install Python OpenCV? If you are using pip install, you are not using the same config (e.g. Math libraries,

In any case, the CPU optimizations build options page contains information about how to disable optimizations.

Which CPU model are you targeting? Are you sure your CPU does not support even SSE2? Have a look at this page: CPU opti

Install OpenCV globally (via sudo make install -j12) This is not recommended to install globally. Instead, use CMAK

There should be nothing to do. It will automatically detect the CPU and add the supported flags. Which CPU/architectur

There is nothing to do. It will automatically detect the CPU and add the supported flags. Which CPU/architecture are y

Computing R from c1Mo and c2Mo is just an easy way to compute the rotation between the two camera viewpoints in Blender.

What is important is that for a rotating camera, the Homography is H = K x R x K^-1. With K the camera intrinsic paramet

This can be a good start.

See reprojectImageTo3D().

Have a look at the documentation page: https://docs.opencv.org/ And search for Rodrigues documentation in the calib3d m

Again for me this is similar to Homogeneous transformation. So I would do: M' = T^-1 . M . T So you pass to the functi

Again for me this is similar to Homogeneous transformation. So I would do: M' = T^-1 . M . T So you pass to the functi

Again for me this is similar to Homogeneous transformation. So I would do: M' = T^-1 . M . T So you pass M' no?

Again for me this is similar to Homogeneous transformation. So I would do: M' = T^-1 . M . T

It is LM non-linear optimization method with the analytical form of the derivatives of the rotation matrix wrt. exponent

It is LM non-linear optimization method with the analytical derivatives of the rotation matrix wrt. exponential coordina

I guess you are on your own now... My final attempt: why not do something similar to homogeneous transformation? some

I guess you are on your own now... My final attempt: why not do something similar to homogeneous transformation? some

I guess you are on your own now... My final attempt: why not do something similar to homogeneous transformation? some

I guess you are on your own now... My final attempt: why not do something similar to homogeneous transformation? some

Sorry but I still don't get you. In input of warpPerspective() you pass the M (the 3x3 transformation or mapping matrix

Probably questions closed for off-topic or not relevant to OpenCV can be deleted. Other than that, unless for obvious r

Probably questions closed for off-topic or not relevant to OpenCV can be deleted. Other than that, unless for obvious r

Sorry I still don't get why you cannot just change M13, M23 and M33. And change your (cx,cy)=(0.5,0.5) to be (cx,cy)=(im

Sorry I still don't get why you cannot just change M13, M23 and M33. At the end, the fonction assumes X' = HX. With X a

For which language? For C++, have a look at the C / C++ / IntelliSense plugin.

Can you not just expand the second equation to modify M13, M23, M33 accordingly so as to get the first equation form? S

You have to use the asymmetric chessboard pattern if you want to have unique chessboard pose.

I don't understand. You have two non-planar scenes and you are aware that Homography transformation holds only for plana