Most people doing research in Computer Vision would be aware of the Camera Matrix's .i,e the Intrinsic and the Extrinsic Matrix. There is a huge amount of code available which calibrates the intrinsics matrix from chess board images. So given a new camera its quite easy to calibrate the intrinsic matrix. Extrinsic Matrix on the other hand vary with individual images and contains the details of the position and orientation of the camera.
Given this much information I always felt it difficult on how to exactly calculate the camera Extrinsic provided we know the exact orientation and pose of the camera in the actual world. Today I found this article which was extremely useful for me to understand this matrix properly .
Let C be a column vector describing the location of the camera-center in the world coordinates.Let Rc be the rotation matrix denoting the cameras orientation with respect to the world coordinates.
Using these relationships we can compute the camera extrinsic matrix .
Camera Extrinsic Matrix are required in creating Multi-view Stereo Datasets
Given this much information I always felt it difficult on how to exactly calculate the camera Extrinsic provided we know the exact orientation and pose of the camera in the actual world. Today I found this article which was extremely useful for me to understand this matrix properly .
Let C be a column vector describing the location of the camera-center in the world coordinates.Let Rc be the rotation matrix denoting the cameras orientation with respect to the world coordinates.
Using these relationships we can compute the camera extrinsic matrix .
Camera Extrinsic Matrix are required in creating Multi-view Stereo Datasets
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