Bilateral filter

About: Bilateral filter is a research topic. Over the lifetime, 3500 publications have been published within this topic receiving 75582 citations.

High accuracy local stereo matching using DoG scale map

Abstract: Local matching is one of approaches for stereo matching which needs cost aggregation. In Guided Filter based method proposed by Hosni, the cost map is smoothed by Guided Filter using original image as a guiding image. However, the Guided Filter sometimes fails when there are regions whose textures are same but disparities are different. Thus, parameter tuning for filter size of Guided Filter is difficult to obtain the best accuracy. In this paper we propose an algorithm for automatic filter size selection for each pixel of Guided Filter based stereo matching based on the response of the Different of Gaussian (DoG). In our algorithm, we generate the Filter-Size map whose pixel value for each pixel is appropriate filter size. The value of the Filter-Size map is the largest size of the filtering area around the pixel in interest calculated such that more than two edges are not included in filtering area. In our experiments, we evaluated accuracy of Guided Filter based method with our algorithm for selecting filter size compared with the original Guided Filter based method without our algorithm. By using the Middle-bury datasets, the experimental results shows our algorithm's superiority in accuracy.

200 FPS Constant-Time Bilateral Filter Using SVD and Tiling Strategy

Abstract: This paper presents a constant-time bilateral filter that supports arbitrary range kernel designed via singular value decomposition (SVD). Bilateral filter (BF) suffers from high computational complexity in real-time processing due to the time-variant kernel. Although various accelerations for BF have been proposed, most of them have not achieved both arbitrary range kernel and tight computational complexity simultaneously. The proposed method supports arbitrary range kernel but requires half computational complexity of most state-of-the-art methods. Moreover, we present two implementation techniques well matched to the SVD approach: range fitting and tiling strategy. Experiments show that, in the cases of major range kernels, the proposed method not only runs faster (200 FPS) but also achieves higher accuracy than the state-of-the-art methods.

Fast bilateral filtering of vector-valued images

Abstract: In this paper, we consider a natural extension of the edge-preserving bilateral filter for vector-valued images. The direct computation of this non-linear filter is slow in practice. We demonstrate how a fast algorithm can be obtained by first approximating the Gaussian kernel of the bilateral filter using raised-cosines, and then using Monte Carlo sampling. We present simulation results on color images to demonstrate the accuracy of the algorithm and the speedup over the direct implementation.

Apparatus and method for reconstructing three-dimensional face avatar through stereo vision and face detection

Abstract: Provided are an apparatus and method for reconstructing 3D face avatar. The apparatus includes a face detection unit, a stereo matching unit, a bilateral filter, and a texture mapping unit. The face detection unit receives a left image and right image of a user, and detects a face image of the user from the left and right images using a face detection algorithm. The stereo matching unit receives the left and right images of the user, and creates a depth map image from the left and right images through a stereo matching operation which uses disparity between the left and right images. The bilateral filter abstracts the detected face image through a bilateral filtering operation. The texture mapping unit texture-maps the abstracted face image on the created depth map image to reconstruct a 3D avatar.

Automatic machine embroidery image color analysis system. Part I: Using Gustafson-Kessel clustering algorithm in embroidery fabric color separation:

Abstract: This series of studies aims to propose the automatic machine embroidery image color analysis system to solve the problem of lack of manpower for machine embroidery fabric drafting and to shorten drafting time. The studies included three parts: (1) machine embroidery image color separation, (2) search of repeated pattern images, (3) machine embroidery color analysis system integration.This study aimed to find the optimal clustering algorithm and cluster validity indices for the automatic color separation process of machine embroidery fabric drafting in order to shorten drafting time. To improve image quality for computer analysis, this study used the color hybrid median filter to filter noise and the color bilateral filter to smoothen fabric and embroidery texture for subsequent color separation. By extracting the color a* component and b* component of the machine embroidery image in CIE L*a*b* color system, this study used the Gustafson-Kessel clustering algorithm for color separation. The Gustafson-Kesse...