Innovative Projects Realized

Deep Metric Learning for Re-Identification in Traffic Scenarios

Alpine river dynamics- restoration of threatened biodiversity

Internship in Neuroscience ‘Visual perception and processing’

Open IoT Services: A general recipe for smart cities

THIRD GENERATION FUELS FOR COMBINED HEAT AND POWER PLANTS (CHP)

Development of a novel HIV vaccine candidate

Management of a poisonous herb in Bavarian grasslands

The seismic wavefield at Villarrica Volcano

Molecular switches leading to deactivation of sensory signaling and recovery of cellular response

Learning from the past: Short-term climate change and ice-sheet dynamics during the Oligocene

Complex network analysis of chemical synaptic communication, from C. elegans to H. sapiens

A novel cost-effective skin-tone detector for consumer devices

Skin-tone detection has received considerable attention in recent years and applied in wide

range of image processing and computer vision applications. The objective of this research

project is to develop a real-time skin-tone detection solution optimized for consumer devices,

allows for a deliverance of high detection performance at minimal computational costs. The

proposed solution will deliver reliable and robust performance even under varying illumination

conditions and unconstrained complex background. Key challenge faced by researchers dealing

with skin tone detection includes selection of a model of skin color distribution and a color

space. Addressing this challenge requires collaborative research which involves academia and

industry. We will carry out comparative evaluation of various skin-tone detectors in terms of

detection performance and computational complexity to identify the best algorithms suit for our

requirements. Consequently, the proposed research will allow us to develop a low complexity

skin-tone detection module, enabling robust real-time detection in consumer grade devices.