Home Page - VISL

Autonomous Outdoor Drones Activity

Autonomous Drones Demo at TCE2019 Conference

VISL Students in Unmanned Aerial Systems Contest

SUAS2016 contest participators

Lab Open Days

Twice a year the VISL takes part in the Open Lab Event, where students are... Read More

VISL Open Day

The Vision and Image Sciences Laboratory (VISL) was established in 1975 and since then is active in research and teaching in a wide range of topics related to Biological and Computer Vision Systems and Image and Video Processing. Particularly, in the last years, the lab is active in Image Enhancement Methods, Real-time Computer Vision Systems, Target Tracking, Aerial Image Processing, Underwater Imaging, 3D Imaging, Geometrical Approaches in Image Processing, Medical Imaging, and many more.

A dozen of graduate students work currently on their research in the VISL. About 50 undergraduate students complete their final BSc project and about 200 students take part in lab experiment courses in the VISL each year.

The VISL provides its students an opportunity to gain experience through projects and research. In addition to its educational role, the research and projects carried out in the lab directly contribute to the Hi-tech industry and to other collaboration partners such as medical centers and government. The activity of the lab is often driven by the needs of the science-based industry. Certainly, the research and projects carried out in the lab keep in the forefront of the activity in its fields of interest.

Autonomous Multi Robot Collaborative Exploration (Mapping)

LSD-SLAM and ORB-SLAM was implemented on a Turtlebot robot working under ROS for mapping and exploration purpuses.

Posted in: 3D and Depth, Applications, Autonomous Systems, Computer Vision
Anti-spoofing in Face Recognition Systems

Anti-spoofing by using a dual camera system to capture image depth from two different angles

Posted in: 3D and Depth, Applications, Computer Vision, SYSTEMS
Flying Drones Video Dataset Augmentation

Build video dataset of flying drones for drone detection network

Posted in: Autonomous Systems, Computer Vision, Drones, Neural Neworks
Image Based Smoke Detection

Create data set and train Resnet for smoke classification in images

Posted in: Computer Vision, Neural Neworks
Improving Transfer Learning For Breast Cancer Detection

Building models to improve transfer learning techniques for breast cancer detection using small data sets of mammograms and US scans

Posted in: Computer Vision, Medical Imaging, Neural Neworks
Tomography of Microscopic Life – Statistical Model Approach

Posted in: 3D and Depth, Computer Vision
Error Measures for Depth Applications

Examining different metrics for error measurement in reconstructed depth images

Posted in: 3D and Depth, Image Enhancement
PSF – Flexible Depth of Field

Method to produce a large DOF with high SNR focused image from one focal swept image and by de-convolution.

Posted in: 3D and Depth
Tomography through Successive Orders of Scattering

New method of stochastic tomography that relies on separation to different orders of scattering

Posted in: 3D and Depth
Marine Object Detection Using Deep Learning

Recognition and identification of obstacles around USV using YOLO network

Posted in: Autonomous Systems, Computer Vision, Neural Neworks
Structured Light In Scattering Media

This project presents structured light method for calculating object surface using projected light stripes

Posted in: 3D and Depth, Computer Vision
Simultaneous De-noising and Compression of Medical Ultrasound Images

Use of compression as an alternative approach for speckle noise reduction in US images

Posted in: Medical Imaging
Autonomous Navigation of Formula Vehicle using Thermal Camera

Estimate vehicle's position with respect to cones by using a thermal camera

Posted in: 3D and Depth, Autonomous Systems, Computer Vision, ITS
Eye super-resolution for improved gaze estimation

Eye super-resolution from synthetic data for improved gaze estimation in unconstrained settings

Posted in: Computer Vision, Neural Neworks
Liver Texture Analysis using CT Scans

Characterize liver pathologies by texture analysis using Wasserstein's metric

Posted in: Medical Imaging
3D Mapping with Self Built Drone

Multi-rotor DJI F450 drone for 3D mapping and reconstruction

Posted in: 3D and Depth, Drones, SYSTEMS
Depth Enhancement Using RGB-D Fusion

Improve the STGV algorithm for depth recovery using state of the art Deep Learning based segmentation techniques

Posted in: 3D and Depth, Computer Vision, Neural Neworks
Adaptive Algorithm for Denoising Ultrasound Breast Images

Despeckle ultra-sound images with adaptive NLM algorithm

Posted in: Medical Imaging
Real-time path detection for autonomous Formula vehicle

Real time cone detection and mapping solution using LiDAR & IMU integration for Technion FORMULA team.

Posted in: 3D and Depth, Applications, Autonomous Systems, Computer Vision
Smart Street Lights

IoT System to be in stalled on Smart Street Lights based on Raspberry Pi and Amazon web service.

Posted in: Applications, Computer Vision, ITS
Estimating Boat Tilt Angle Using Horizon Line

We present an improved algorithm for horizon calculation for USV from video taking into account the boat's oscillations due to waves.

Posted in: Autonomous Systems, Computer Vision
3D Reconstruction from Structured Light- Global Illumination

Solve inter-reflection problem in 3D reconstruction from structured light

Posted in: 3D and Depth
Automatic Tumor Classification in Mammogram Images

Use morphological features for classification of benign or malignant tumors in mammogram images

Posted in: Computer Vision, Medical Imaging
Coral Segmentation and Identification

Segmentation of corals using data augmentation and training of existing ConvNet

Posted in: Computer Vision, Neural Neworks

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