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3D reconstruction/ Bag of Words/ pre trained CNN

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Robotics-Computer Vision

3D RECONSTRUCTION (3Dreconstruction.m)consists of the following steps ->Camera Calibration to collect intrinsic parameters(remember to lock the focus AE/AF Lock). ->Feature Matching/ Estimation of Camera Matrices/ Triangulation (Reconstruct the 3D Points in the scene using 2 Frame stereo) ->point cloud formation

BAG OF WORDS (proj3.m ) -> implementation of bag of words using vl_sift/vl-kmeans etc. it uses the code specific funtion cluster.m ->to run this code, you must have vl_feat installed -> follow the link (http://www.vlfeat.org/download.html) ->use seperate files test and train to implement the code(refer to the visio_dataset)

PRETRAINED CONVOLUTION NETWORKS(precnn.m) ->to download the pretrained dataset, follow the link (http://www.vlfeat.org/matconvnet/pretrained/) ->build testing classes based on the labels already in the data set that you are downloading.

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3D reconstruction/ Bag of Words/ pre trained CNN

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