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Articles tagged with #computer-vision
Novel View Synthesis has always been a prominent problem to address in 3D Computer Vision. Directly succeeding techniques like DeepVoxels and Scene Representation Networks, we have Neural Radiance Fields, or simply NeRFs. Neural Radiance Fields is a ...
Calibration means using lots of available data to estimate the intrinsic properties of the measuring instrument and correcting the error (or accounting for it) if any. In context of Camera Calibration, these intrinsic parameters are focal lengths, pr...
Iterative Closes Point Registration or simply ICP registration is a procedure used to align 3-Dimensional Point Clouds. It is a major step in the complete pipeline of 3D-Reconstruction and is often used for making 3D models from point clouds with dif...
Transformers were introduced in 2017 and changed the course of Deep Learning research for many forthcoming years. Naturally, they were also adopted in the computer vision ecosystem which was till then, dominated by Convolutional Neural Networks or Co...
In 3D Computer Vision, camera calibration is the process of determining specific camera parameters to complete operations with specified performance measures. These parameters include focal length, optical centre, skew coefficient, radian and tangent...
Since the forward pass ended on the Fully Connected Layer, it is only natural to begin the discussion of backpropagation from that layer. Fortunately for us, it is not any different than what we usually see in regular Neural Networks. Therefore, we c...
