Research Highlights Student projects
Current research projects being carried out involve the development of new image processing algorithms including real-time implementations and machine learning techniques. The researches target multiple areas such as medical field, cosmetic industry, meat and agriculture industries among other.
|Current works involve the development of a multispectral imaging device to extract and measure the different elements composing the skin. The research focuses on two aspects: hardware development and signal/image processing algorithm. The hardware development aims to create a low-cost multispectral camera allowing the acquisition of skin area at multiple wavelengths not visible by the human eye. The development of signal/image processing intends to analyse data acquired by imaging devices. The ultimate goal is to objectively quantify different skin components for the assessment of skin lesions and treatment efficacy. |
|Visual image’s texture is a key to important information that is often used in various image analysis applications e.g., biomedical image analysis, terrains classification via satellite images and wood species recognition. To describe the texture of the image, different features can be extracted from the image. Some common features that are extracted from the images include grayscale statistics (mean, standard deviation, max, min, Kurtosis, skewness, histogram), gray-level run length matrix (GLRL), gray-level Co-occurrence matrix (GLCM), frequency spectrum, etc.
The aim of this project is to develop a platform that can analyze textures from images and extract only features that are relevant for specific applications.|
|In recent years, research has been shifting to the digital world for many aspect of daily life, one being make-up testing.
BU-CROCCS has developed Digikup, our own digital makeup. The system is offering a unique experience for makeup customers by virtually testing makeup on them in a realistic fashion using a 3d lookalike rendering. Therefore, testing multiple makeups is fast and avoids potential unhygienic contact.
The project involves the development of image processing algorithms for face and makeup area detection as well as realistic rendering.
The project aim to provide a new tool for shopper wanting to ease their makeup testing.|
|Holographic like technology offers a semi immersive visual experience. Applied to museum exhibitions, it can enhance visitors’ experience by using an interactive hologram-like display applied to ancient object. In collaboration with the Southeast Asian Ceramics Museum
South Asian Ceramics Museum of Bangkok University, the research work focuses on developing new interactive and visual experience. The goal is to allow virtual interactive exploration of ancient art object.
The project focuses on the development of low-cost acquisition and display systems such non-conventional acquisition system providing 360-degrees videos and interactive display like three views controllable pyramid display. The acquisition system provides
The acquisition is performed while the object is in a fixed position to ensure its safety, while visitors can control the 360-degrees visualization of the object using a rotating knob. Future works aim to provide advanced acquisition tools and more controllable display systems.