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3-interpolation-blending

Usama Pervaiz Lab3

3d_scanning_v2

In this work, a design of an acquisition and processing system that can perform 3D scanning and reconstruction of objects seamlessly was proposed. Also, this work included making the 3D scanning process fully automated by building and integrating a turntable alongside the software. This means the user can perform a full 3D scan only by a press of a few buttons from our dedicated graphical user interface. System designed first acquires point cloud data of a person/object using inexpensive camera sensor. Second, it aligns and converts the acquired point cloud data into a watertight mesh of a good quality. Third, it exports the reconstructed model to a 3D printer to obtain a proper 3D print of the model.

b31xb-iip-tp-1617

bsc_thesis_skin_lesion_detection

deep_learning_classification

I worked on the development of an automatic tool for the classification of brain glioma tumor into sub grades. I designed the modified Alex-net for this multi-classification problem which performs with an accuracy of 93% on MR Images data collected in University Hospital, Dijon. The obtained results surpassed other existing state of the art glioma classification techniques

disaster_response

I am working on voice directed smart phone application for managing injured citizens in a disaster zone. The application will manage the prioritization of subjects and will handle patient distribution and transportation.

dsp-tp-1617

eng_assigment

eng_assignment

face_recognition_pca

This project was mainly focused on designing a simple facial recognition system using a very small dataset of training images. The project was mainly divided into two parts. First part was about normalization of the training set and the second part was about incorporating principal component analysis with the facial recognition system. A user friendly simple GUI was designed to allow seamless contol of the system.

hmm-mar

Toolbox for segmentation and characterisation of transient connectivity

keras-spp

Spatial pyramid pooling layers for keras

keras-tensorflow-windows-installation

10 easy steps to install Tensorflow-GPU and Keras in Windows

models

DLTK Model Zoo

sam

Image Processing Lab

tensorflow

Computation using data flow graphs for scalable machine learning