Utlysta
Haptisk visualisering för utveckling av VR- och AR-applikationer
Utlyst:
2024-06-01
Beskrivning
EIT together with the Neural basis of sensorimotor control group at the Medical Faculty offers a master's thesis project (Exjobb) for a motivated candidate to lead a project focused on operating a high-speed camera to capture images from a haptic display, and how high-dimensional video image data maps to different perceptions. This project promises to yield insights critical to advancing the development of haptic interfaces in the future of Virtual Reality (VR) and Augmented Reality (AR) applications. Responsibilities: Spearhead the operation of a high-speed camera to capture images from a haptic display. Collaborate with seasoned researchers to define project objectives and scope. Research, design, and implement advanced computer vision algorithms specialized for haptic imaging. Analyze and extract features from the movement of the skin captured by the high-speed camera. Evaluate and refine algorithm performance through rigorous testing and experimentation. Document the development process, results, and findings for comprehensive reporting. Present findings and contribute to ongoing research discussions. Qualifications: Good problem-solving and analytical skills. Good communication and teamwork capabilities. Self-driven and adept at working independently and collaboratively. Merits: Strong foundation in computer vision, image processing, and machine learning. Proficient in Julia, Python, C++, or similar programming languages. Experience with computer vision libraries and frameworks (e.g., OpenCV, TensorFlow, PyTorch). Familiarity with operating high-speed cameras and expertise in image processing techniques. How to Apply: Interested candidates should submit their application, including a resume, cover letter, and relevant academic transcripts, to fredrik.edman@innovation.lu.se and henrik.jorntell@med.lu.se. Please include "MSc Final Project Application - Tactile Algorithms" in the subject line. For inquiries or further information, please contact prof. Henrik Jörntell at henrik.jorntell@med.lu.se
Kontaktpersoner: Fredrik Edman (EIT)