Assessment of most accurate model for BP estimation from PPG signal by wearable device
Projects
Description.
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A Deap Learning based method that aligns the Myocardial T1-weighted images of CRM (Cardiac Magnetic Resonance) -
This project is a first stage in development of an autonomic robot for picking up litter left in nature. -
In this research we investigate new ways to estimate cardiovascular health using Respiratory Sinus Arrhythmia (RSA), which can be seen in Heart Rate Variability (HRV) signal. -
Training a YOLOv4 network for drone detection and implementation on an NVIDIA Jetson TX2 installed on a UAV -
Registration and change detection of CT scans using geometrical methods in image processingCategories: Medical Imaging -
Characterize liver pathologies by texture analysis using Wasserstein's metricCategories: Medical Imaging -
Iterative Algorithm for Compression of Ultrasound ImagesCategories: Medical Imaging -
New method of stochastic tomography that relies on separation to different orders of scatteringCategories: 3D and Depth -
Build video dataset of flying drones for drone detection network -
Eye super-resolution from synthetic data for improved gaze estimation in unconstrained settings -
Estimate vehicle's position with respect to cones by using a thermal camera -
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Building models to improve transfer learning techniques for breast cancer detection using small data sets of mammograms and US scans -
Design and train an algorithm for removing atmospheric turbulence through deep learning -
Solve inter-reflection problem in 3D reconstruction from structured lightCategories: 3D and Depth -
Despeckle ultra-sound images with adaptive NLM algorithmCategories: Medical Imaging -
Conversion of colors of images for color-blindness of type DeuteranopiaCategories: Image Enhancement -
Segmentation of corals using data augmentation and training of existing ConvNet -
Classification of mammograms based on extraction of textual-based featuresCategories: Medical Imaging -
Anti-spoofing by using a dual camera system to capture image depth from two different angles -
This project presents structured light method for calculating object surface using projected light stripes -
We present an improved algorithm for horizon calculation for USV from video taking into account the boat's oscillations due to waves. -
Multi-rotor DJI F450 drone for 3D mapping and reconstruction -
Collect data base and train a CNN to detect drones in images -
Atmospheric turbulence simulator using given parameters of user input -
Control TELLO drone to automatically follow human face -
Real time cone detection and mapping solution using LiDAR & IMU integration for Technion FORMULA team. -
Control a single drone using a ground stereo camera system -
Create data set and train Resnet for smoke classification in images -
Monitor traffic conditions under hard conditions at the exit of Tel Aviv HaBima parking lot -
Method to produce a large DOF with high SNR focused image from one focal swept image and by de-convolution.Categories: 3D and Depth -
Use of compression as an alternative approach for speckle noise reduction in US imagesCategories: Medical Imaging -
Recognition and identification of obstacles around USV using YOLO network -
Autonomous drone localization and navigation from ground station camera -
Examining different metrics for error measurement in reconstructed depth images -
Analysis of a hidden scene by Time of Flight (ToF) using MITSUBA simulation tool -
Improve the STGV algorithm for depth recovery using state of the art Deep Learning based segmentation techniques -
Demonstration of global and direct illumination experiment using Mitsuba simulation.Categories: Computer Vision -
Use morphological features for classification of benign or malignant tumors in mammogram images -
Find and blur license plate numbers in surveillance video for privacy protectionCategories: Computer Vision -
Perform autonomous object tracking with hacked Nano Drone -
Enhancement of images using an own devised Adaptive Pixel Binning algorithm.Categories: Image Enhancement -
Tourist assistant application developed for EYESIGHT AR glasses, showing points of interest and translating textual signs. -
LSD-SLAM and ORB-SLAM was implemented on a Turtlebot robot working under ROS for mapping and exploration purpuses. -
IoT System to be in stalled on Smart Street Lights based on Raspberry Pi and Amazon web service. -
Prototype of a moving robot arm system with capability of going back exactly to the same position as it started. -
Identify nerve structure in ultrasound images using Deep Learning. -
Using CNN neural network for classification of human \ non human objects in thermal images -
Inpaint holes in depthmaps using superpixel segmentation and smart clusteringCategories: 3D and Depth -
Development of algorithm for navigating autonomous vehicle for FORMULA contest -
Classification of Mammograms for cancer detectionCategories: Medical Imaging -
Application for deaf people and security guard assistant application -
Photometric stereo using a computer screen and webcam -
Implement a low light camera by a smart pixel binning method.Categories: Image Enhancement -
Compression of Ultrasound Images by dividing the image into ROI and RONI (Region Of Non Interest)Categories: Medical Imaging -
Students are invited to take part in Technion's Formula team and develop a driverless formula vehicle. -
More project proposals... -
Students will build COFFEEBOT: a robot capable of delivering coffee from the 'Greg' coffee shop. -
In this project we show how from a few images of the same scene we can synthesize a virtual view from a real physical scene point which is imaged by all the input cameras.Categories: 3D and Depth -
Students are asked to model and then print a set of 3D objects built from geometric structures that mimic properties of advanced materials.Categories: 3D and Depth -
A system for gait analysis for medical diagnosis will be developed using several Kinekt cameras. -
In this project we will use a small 3D camera in order to develop a guidance device for blind people. -
In this project students will extend the gesture recognition abilities of HoloLens glasses for teaching applications. -
Students will implement a variety of 3D-geometric features that will enable us to match 3D objects.Categories: 3D and Depth -
Student will develop applications on Microsoft Hololense AR glasses -
Students will learn and implement a method for eye tracking with RGB camera. -
Tissue Doppler Imaging (TDI) plays a major role in evaluating the left ventricular function [1]. This modality is characterized by an intrinsic noise, which leads to the classical thickness of the graphs displayed in commercial ultrasonic equipment. The agreement between TDI and Mitral Annulus Plane Excursion (MAPE) has been shown to be sub-optimal [2]. We hypothesize that this discordance is due to the noise in TDI. By taking the neighborhood...Categories: Medical Imaging -
New project proposal: Build a junction control system based on Raspberry Pi and cloud services and known algorithms. -
Improve the vertical density of point clouds captured by LiDAR 16 depth camera. -
The majority of car accidents which involve pedestrians occur due to Moving violations cause by the driver, therefor our main goal in this project was to detect pedestrians near pedestrian crossings in low visibility conditions in order to alert drivers. -
Due to new threats a navigating tunnel mapping system is required -
Finding and navigating a path in a non-deterministic, 2D environment under probabilistic constraints. -
Recognize and track pedestrians at crosswalks using Histogram of Oriented Gradients. -
Increasing demand for smart pedestrian crossing control all over the world. Haifa municipally is looking for a solution in collaboration with the Technion. -
In the project, we will build an exhibition for the illusion of a three dimension in an interactive way. -
Utilizing SLAM and navigation capabilities to achieve high quality complete map of the surroundings in a short amount of time.Categories: Autonomous Systems -
Turbulence creates refractive perturbations to light passing through a scene which causes random distortions when imaging background objects. A simple example we are experience on daily basis is refraction through glass of water or distortions above a road on a hot dayCategories: Image Enhancement -
Analyze walking patterns of patient in a mental institution using multiple KinectsCategories: 3D and Depth -
Improved ultrasound image compression ratios whilst preserving the diagnostic information of the images. Speckle noise reduction in order to improve the diagnostability of the image. -
Sleep apnea Is a sleep disorder of shallow breathing or complete breathing stops that takes place during sleep and can last from few seconds to several minutes. -
Analyze a Backgammon Game Board State from an RGB Image Create an Android App Create an easy-to-use wrapper for the GNU-BG algorithm Get Hands-On Experience Creating Image Process Algorithms -
Many navigation apps and tools exists to help you navigate outdoor based mainly on GPS but a cheap and reliable indoor navigation and mapping system is missing -
The project's goal was making feasibility check for improving the time-consuming algorithm of tomography with a new method of opto-acoustic.Categories: Medical Imaging -
ThermTrack is an Android application that enables to track objects with a low-cost thermal camera of type Thermapp according to temperature range and basic image features. Image processing features like blob detection and object area, circularity, convexity etc. were taken from OpenCV libraries. The original goal was tracking pedestrians, pedestrian tracking can be utilized by the operator by choosing suitable parameters of the available features. The development was done using... -
Color vision is the process by which an organism extracts information regarding the wavelength composition of a visual stimulus. Color blindness is an abnormal condition characterized by the inability to clearly distinguish different colors of the spectrum. Color vision deficiency impacts the lives of millions of people around the world. It is essential to understand their condition and provide solutions to improve their quality of life and accessibility to different... -
Traffic collision cost the life of hundreds per year, if you do not include the wounded. There are many roads which not contain traffic lights, despite considered dangerous for pedestrian. The main goal of this project is to develop a real-time system which warns when pedestrian approach or crossing the road, moreover we tried to implement the system on portable device in order to be stationed in junctions with no... -
Implementation of sparsity based image processing methods on naturel texture image with stochastic features for the purpose of noise filtering and reconstruction of blur. -
With more and more advancing technology, it is time to use it to make the road a safer place. -
In this project we tried find optimal correlation between 2 or more medical images while using Ricci curvature of the image to determine the model -
Facial nerve palsy is a problem that involves the paralysis of any structures activated by the facial nerve , diagnostics today are very subjective.Categories: Medical Imaging -
Interpolation is one of the fundamental tasks in image processing. While many interpolation techniques have been proposed for that task, most of them comprise an averaging effect and therefore not optimized for texture image -
Many models of statistical signals are related to the "Markov Model". By this model there is a dependency between a value of specific sample of a signal. -
Nowadays, depth cameras (e.g. Kinect), are capable to map the entire room. It is doing so, by generating point clouds (x,y,z) of the object, in front of them. But it still maps only one angle of the object in front. In order to receive 3D mapping of the object, it is necessary to picture from every angle. After all the data is received, all the angles should be transferred to... -
The aim of this project is change detection between medical images (CT scans and MRI) for later medical research and treatment, using the iterative Ricci flow algorithm -
Stereo vision & structured light are well-studied methods in the field of computer vision. Several products, such as Kinect, RealSense3D & DUO3D, use those technologies in order to reconstruct a 3D scene indoors -
In our days we relay more and more on image processing, but what if we want to process multiple video streams from different angles in the room or on the street and create a joint 4D video analysis. -
In recent years drones became more accessible and we would like to explore the magnificent world of drones and autonomous systems. We would like to use the drone in order to accomplish basic mission, and create an infrastructure for next to come -
Combined with image processing, computerized graphics and Machine Learning, CPK system will alert and avoid sinking young children in private pools -
Aesthetics, in the world of art and photography, refers to the principles of the nature and appreciation of beauty. Judging beauty and other aesthetic qualities of photographs is a highly subjective task