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Face detection is an important step towards a fully automatic face recognition system. Among existing techniques in the literature, methods based on skin-color information have shown computational effectiveness as well as robustness in terms of rotation, scaling and partial occlusion. However, due to color variations resulted from illumination changes, many color-based techniques have yet to demonstrate...
Multi-view plus depth (MVD) video is getting more popular as a new video format for 3DTV and Free viewpoint TV. By using multi-view and depth video, it is possible to efficiently render virtual views in decoder site. In this paper, we propose a motion information sharing mode for efficient depth video coding. Because the depth video is correlated with the color video especially in object boundary...
We present the framework for Human visual system (HVS)-aware Region of interest (ROI)-based Illumination and Color Restoration called `HRICR' for restoring distorted images taken under the arbitrary illumination environment. The proposed method is effective for appropriate illumination and vivid color restoration as well as suppression of artifacts such as HALO and noise amplification. We introduce...
Skin color segmentation takes a great attention in many vision-based methodologies. However, the performance of the segmentation is not stable because of color variations caused by various illumination conditions. In this paper, we propose a new skin color model for segmentation which is invariant to illumination variation. It is based on illumination-free color space which is defined on Lambertian...
We present a novel framework for automatic illumination and color compensation algorithm using mean shift and the sigma filter (ICCMS) to restore distorted images taken under the arbitrary lighting conditions. The proposed method is effective for appropriate illumination compensation, vivid color restoration, artifacts suppression, automatic parameter estimation, and low computational cost for HW...
We present the illumination and color compensation algorithm using the mean shift -based color segmentation for the restoration of captured images under the arbitrary lighting conditions. The proposed method is effective for removing the color noise as well as representing vivid and natural color image captured by the digital camera and the camcorder.
Motion compensated error of the static text in the frame rate conversion (FRC) is most annoying artifact because people cannot read it. In this paper, we present a novel static text region detection algorithm for preventing the motion compensation error in FRC. We use some consistent properties of the static text that the color of the text is spatio-temporally consistent and the orientation of the...
In this paper, we propose a CIECAM02-based color image enhancement method which is particularly robust to scenes with bright surrounding. The proposed method detects color edges using a distance metric based on the characteristics of a human visual system (HVS). The CIECAM02 is inherently strong considering both HVS and surrounding conditions. A major problem of HVS is that the dark region appears...
This paper presents a novel method for stereo matching with occlusion handling. In order to estimate optimal cost, we define an energy function and solve the iterative equation with the numerical method. We improve performance and convergence rate by using several acceleration techniques. The proposed method is computationally efficient since it does not use color segmentation or any global optimization...
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