ComputerVision Practical Session
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Updated
Nov 19, 2020 - MATLAB
ComputerVision Practical Session
Comparative Analysis of Two-View and Three-View Pose Estimation Algorithms for Image-Based 3D Reconstruction: Fundamental Matrix vs Trifocal Tensor
Implementation of Tomasi and Kanade SFM Factorization method, IJCV 1992.
Study of stereo photogrammetry implementation in Matlab using disparity map and feature triangulation to reconstruct the scene and Structure from Motion to estimate the camera pose
BIM-based 3D multimodal reconstruction for substation equipment inspection images
Matlab toolbox for creating 3D cave models from sparse survey
Reconstruction of office from a set of 3D point clouds
This is the code, datasets and graphs for the digtial evalutions of thermal and mechanical properties by X-ray CT analysis and 3D reconstruction.
TUM Computer Vision Challenge 2023WS
Used epipolar geometry fundamentals to perform an array of computer vision tasks on camera snapshots and motion capture sensor data.
Statistical Shape Images Comparison. A silhouette based 3D reconstruction process using Blender and Matlab.
Computer vision project on camera calibration and other tasks
MATLAB stereo reconstruction to 3DP tessellated mesh (STL)
Computer vision lets you to write on any surface, with any kind of pencil, and no need of ink.
Source code for the 2019 IEEE TII paper "3-D granulometry using image processing"
3D reconstruction of a mouse from a collection of Sinograms coming from a Computed Tomography scan, with Filtered Backprojection and Matlab.
The code for reconstruction algorithm and post-processing of electron tomographic series of colloidal particles acquired in liquid
3D Visualization of heart activities using effective reconstruction of epicardial electrical potential
3D reconstruction and measurement based on line laser
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