Directional Joint Bilateral Filter for Depth Images
نویسندگان
چکیده
Depth maps taken by the low cost Kinect sensor are often noisy and incomplete. Thus, post-processing for obtaining reliable depth maps is necessary for advanced image and video applications such as object recognition and multi-view rendering. In this paper, we propose adaptive directional filters that fill the holes and suppress the noise in depth maps. Specifically, novel filters whose window shapes are adaptively adjusted based on the edge direction of the color image are presented. Experimental results show that our method yields higher quality filtered depth maps than other existing methods, especially at the edge boundaries.
منابع مشابه
Depth Data Calibration and Enhancement of Time-of-flight Video-plus-Depth Camera
In this paper, we present a method to calibrate and enhance depth information captured by an infrared (IR)-based time-of-flight video-plus-depth camera called “Kinect camera”. For depth data calibration, we use color and IR images of a chessboard with on-off halogen light sources to calculate camera parameters of the video and IR sensors in the Kinect camera. For depth data enhancement, we intr...
متن کاملThe multiscale directional bilateral filter and its application to multisensor image fusion
In this paper, a novel multiscale geometrical analysis called the multiscale directional bilateral filter (MDBF) which introduces the nonsubsampled directional filter bank into the multiscale bilateral filter is proposed. Through combining the characteristic of preserving edge of the bilateral filter with the ability of capturing directional information of the directional filter bank, the MDBF ...
متن کاملMulti-step joint bilateral depth upsampling
Depth maps are used in many applications, e.g. 3D television, stereo matching, segmentation, etc. Often, depth maps are available at a lower resolution compared to the corresponding image data. For these applications, depth maps must be upsampled to the image resolution. Recently, joint bilateral filters are proposed to upsample depth maps in a single step. In this solution, a high-resolution o...
متن کاملWeighted Joint Bilateral Filter with Slope Depth Compensation Filter for Depth Map Refinement
In this paper, we propose a new refinement filter for depth maps. The filter convolutes a depth map by a jointly computed kernel on a natural image with a weight map. We call the filter weighted joint bilateral filter. The filter fits an outline of an object in the depth map to the outline of the object in the natural image, and it reduces noises. An additional filter of slope depth compensatio...
متن کاملFast Depth Map Upsampling using Edge Information
In this paper, we propose a new depth map upsampling method to increase the depth image resolution using edge information. Although the joint bilateral upsampling (JBU) method expands the resolution of the depth map using two weighting functions, the complexity of JBU is relatively high. In the proposed upsampling method, we reduce the complexity of depth map upsmapling operation using a color ...
متن کامل