Research
Image Analysis
Image analysis or imagery analysis is the extraction of meaningful information from images; mainly from digital images by means of digital image processing techniques. Image analysis tasks can be as simple as reading bar coded tags or as sophisticated as identifying a person from their face.
Computers are indispensable for the analysis of large amounts of data, for tasks that require complex computation, or for the extraction of quantitative information. On the other hand, the human visual cortex is an excellent image analysis apparatus, especially for extracting higher-level information, and for many applications — including medicine, security, and remote sensing — human analysts still cannot be replaced by computers. For this reason, many important image analysis tools such as edge detectors and neural networks are inspired by human visual perception models.
Anomaly Detection
Humans are able to detect heterogeneous or unexpected patterns in a set of homogeneous natural images. This task is known as anomaly or novelty detection and has a large number of applications. Anomaly detection automation would enable constant quality control by avoiding reduced attention span and facilitating human operator work.
Anomaly detection is a binary classification between the normal and the anomalous classes. However, it is not possible to train a model with full supervision for this task because we frequently lack anomalous examples, and, what is more, anomalies can have unexpected patterns.
This field includes various fields such as disease diagnosis, defect detection, surface abnormality detection, and traffic accident detection.
IoT, Cloud, Bigdata, and Mobile (ICBM)
ICBM is basically to revitalize related industries by storing data collected by Internet of Things (IoT) sensors in the cloud and analyzing it with big data analysis technology to provide appropriate services in the form of mobile device services.
1) Collect data from 5G, network, wired or wirelessly connected objects.
2) Distributed storage of collected data on cloud storage.
3) Analyze data from distributed, stored cloud servers with big data analytics.
4) Analyzed results are consumed by mobile user devices and based on them, providing user services.
Development of Metaverse System
The word "Metaverse" is made up of the prefix "meta" (meaning beyond) and the stem "verse" (a back-formation from "universe"); the term is typically used to describe the concept of a future iteration of the internet, made up of persistent, shared, 3D virtual spaces linked into a perceived virtual universe. The metaverse in a broader sense may not only refer to virtual worlds, but Internet as a whole, including the entire spectrum of augmented reality.
Research with Various Sensors
A sensor is a device that measures physical mass that exists in a natural world or temperature, pressure, humidity, distance, etc. and changes it into an electrical signal. Sensors can detect the size of physical signals such as light, sound, chemicals, temperature, etc. Also, sensors are used variously in our daily lives. We develop commercially available IoT products by utilizing various sensors.
Image Generation and Image Reconstruction
Image generation (synthesis) is the task of generating new images from an existing dataset. It can be done using different form as input including RGB images, videos, medical images, and text, etc. Image reconstruction techniques are used to create 2-D and 3-D images from sets of 1-D projections. These reconstruction techniques form the basis for common imaging modalities such as CT, MRI, and PET, and they are useful in medicine, biology, earth science, archaeology, materials science, and nondestructive testing.
