Motion deblurring is one of the fundamental problems of computer vision and has received
continuous attention. The variability in blur, both within and across images, imposes …

Motion deblurring is one of the fundamental problems of computer vision and has received
continuous attention. The variability in blur, both within and across images, imposes …

Home service robots operating indoors, such as inside houses and offices, require the real-
time and accurate identification and location of target objects to perform service tasks …

The intensity image-based LiDAR fiducial marker system (IFM) proposes an algorithm to
localize 3D fiducials of thin-sheet tags, using patterns compatible with AprilTag and ArUco …

Projection mapping has been used for various purposes in everyday situations. A key step in
projection mapping is to project images and videos without distortion through calibration …

Image deblurring has the goal of restoring a sharp image from a degraded one. Currently,
most deblurring methods are designed for natural images; these methods may not perform …

Using the Transformer for motion deblurring enables a broader receptive field, and by
stacking multiple Transformer modules, it captures global correlations in features. However …

For the existing visual SLAM system relying on image quality, the image motion distortion
caused by the characteristics of the quadruped robot will seriously affect the stability of …

초록 최근 컴퓨터 비전 분야에서 확산 모델 (Diffusion Model) 은 다양한 작업에 적용되어
뛰어난 성능을 보여주고 있다. 확산 모델은 마르코프 연쇄 (Markov Chain) 의 성질을 사용한 …

Parkinson's disease is a chronic neurodegenerative illness that severely affects the
everyday life of a patient. The severity of Parkinson's disease is assessed using the MDS …