[Català] Laboratoris de l'assignatura de Visió per Computadors a la UPC-FIB (Facultad d'Informatica de Barcelona)
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Updated
Jan 24, 2019 - MATLAB
[Català] Laboratoris de l'assignatura de Visió per Computadors a la UPC-FIB (Facultad d'Informatica de Barcelona)
My projects cover a wide range of topics, from image filtering and segmentation to object detection and recognition.
Filtres et reconnaissances d'un visage (image et temps réel)
A license plate recognition system was developed for detecting, recognizing, and extracting license plate information. It uses MATLAB for image segmentation, edge detection, and character recognition to extract license plate information.
This repository is an open-source project focused on recognizing handwritten Devanagari script characters. Devanagari is the script used for writing several Indian languages, including Hindi, Marathi, and Sanskrit.
A MATLAB library for chess recognition of La Settimana Enigmistica. Project for Image Processing course @unimib17/18.
Handwritten English Character Recognition Based on Convolutional Neural Network in MATLAB
recognize soft drinks/soda with (MATLAB) DeepLearning
Essential Measurement Applications (EMA) integrated with scripts to simulate the measurements with FADE
Object Tracking
Optical Music Reader (OMR) for Parsing horizontally aligned music score sheets. Translation by Generating ABC annotation with a Music playback in a .wav format. Parsing tilted music sheets and Parsing complex music sheets.
🎶 Musical instrument recognition in isolated notes and solo phrases by Gammatone and CNN
On Identifying the characteristic features that will be stored for each subject performing SVD
Using PCA and eigenvectors to solve the computer vision problem of human face recognition.
Spatial Pyramid Matching for Scene Classification
machin inspection for pcb defects using computer vision and classifing it using neuralnetworks
The FADE simulation framework adapted to predict SRTs for the Hurricance 2.0 challenge
Exemplary simulation toolchain combining FADE, TASCAR, and openMHA for aided speech recognition performance predictions in complex auditory scenes
Ear alignment using Cascaded Pose Regression 👂🏼
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