Depth Super Resolution Using Bilateral Filter
Depth maps are used in many applications, e.g. 3D television, stereo matching, segmentation, etc. Recently, a new generation of active 3D range sensors, such as time-of-flight (TOF) cameras, enables recording of full frame depth maps at video frame rate. Unfortunately, depth maps captured with the TOF cameras have limited resolution and poor image quality, being serverely influenced by the random and systematic noise, which makes them innaposite for generating high quality 3D images. In this paper, we proposed a method to enhance the quality and increase the spatial resolution of range data by upsampling the range information with the data from a high resolution video camera. Our algorithm is an adaptive upsampling filter that takes into account the inherent noisy nature of depth data. Thus, we can improve reconstruction quality, boost the resolution of the data to that of the video sensor, and prevent unwanted artifacts like texture copy into geometry.
bilateral filter joint bilateral upsampling
Kim CholSu HuiMin Yu Gang Yang
Department of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China D Department of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China
国际会议
2011 4th International Congress on Image and Signal Processing(第四届图像与信号处理国际学术会议 CISP 2011)
上海
英文
1081-1085
2011-10-15(万方平台首次上网日期,不代表论文的发表时间)