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pro vyhledávání: '"Changsoo Je"'
Autor:
Changsoo Je, Hyung-Min Park
Publikováno v:
International Journal of Sensors, Wireless Communications and Control. 12:584-591
Aim: Structured light is frequently selected for efficient and accurate depth imaging, and single-frame-based methods have been presented for real-time sensing or imaging dynamic objects. However, many existing single-frame-based methods do not provi
Autor:
Changsoo Je, Hyung-Min Park
Publikováno v:
The Imaging Science Journal. 67:277-283
This paper presents an effective lip pixel detection method based on blocks and deep neural networks. Since only-rough localization of a pair of lips is a trivial task, we use a rectangle that loos...
Publikováno v:
IEEE Access, Vol 7, Pp 90125-90131 (2019)
This paper proposes a lip-reading method based on convolutional neural networks (CNNs) applied to two different types of concatenated frame images (CFIs), consisting of (a) full-lip images and (b) patches around lip landmarks. In addition, we introdu
Autor:
Changsoo Je, Hyung-Min Park
Publikováno v:
Optics letters. 46(3)
Linear phase estimation is crucial for accuracy of sinusoidal structured-light range imaging. This Letter presents value probability analysis for a continuously differentiable function and shows that the probability of a value of the function is clos
Publikováno v:
The Imaging Science Journal. 64:419-424
The extended active shape models have shown their robustness in facial landmarks fitting. However, we often meet substantial errors of lip landmarks fitting mostly due to teeth boundaries. An attempt to reduce the errors using high-quality mouth maps
Autor:
Hyung-Min Park, Changsoo Je
Publikováno v:
Signal Processing: Image Communication. 39:185-201
Images often need to be aligned in a single coordinate system, and homography is one of the most efficient geometric models to align images. This paper presents homographic p-norms, scalar metrics of homographic image transformation, and to the best
Publikováno v:
Optics and Lasers in Engineering. 51:1255-1264
In computer vision, two major active range imaging methods have been frequently employed for rapid and efficient shape recovery: (a) conventional active stereo vision and (b) conventional structured-light vision. This paper presents a comparative ana
Publikováno v:
Signal Processing: Image Communication. 28:792-808
Obtaining a good-quality image requires exposure to light for an appropriate amount of time. If there is camera or object motion during the exposure time, the image is blurred. To remove the blur, some recent image deblurring methods effectively esti
Autor:
Changsoo Je, Hyung-Min Park
Publikováno v:
Signal Processing: Image Communication. 28:779-791
Recently the camera resolution has been highly increased, and the registration between high-resolution images is computationally expensive even by using hierarchical block matching. This paper presents a novel optimized hierarchical block matching al
Publikováno v:
HAI
We propose a speech dereverberation method in the time-frequency domain, based on an image deblurring algorithm. A reverberant speech magnitude can be modeled as a convolution of a clean speech with a reverberation filter in time-frequency domain. Th