A semi-automatic multi-view depth estimation method

Wildeboer, Meindert Onno; Fukushima, Norishige; Yendo, Tomohiro; Tehrani, Mehrdad Panahpour; Fujii, Toshiaki; Tanimoto, Masayuki

doi:10.1117/12.863355

Cited by 16 publications

(11 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The code used in this paper is uploaded in http://nma.web.nitech.ac.jp/fukushima/ research/viewsynthesis.html In our future works, we will extend the matting by using stereo matting [11] to improve the accuracy of matting. Also, instead of using ground truth, we use estimated depth maps, which have accurate boundaries, by using side information of manual user input [12], or boundary refinement method [13].…”

Section: Resultsmentioning

confidence: 99%

Filter based alpha matting for depth image based rendering

Kodera

Fukushima

Ishibashi

2013

2013 Visual Communications and Image Processing (VCIP)

Self Cite

View full text Add to dashboard Cite

In this paper, we propose a free viewpoint image rendering method combined with filter based alpha matting for improving the image quality of image boundaries. When we synthesize a free viewpoint image, blur around object boundaries in an input image spills foreground/background color in the synthesized image. To generate smooth boundaries, alpha matting is a solution. In our method based on filtering, we make a boundary map from input images and depth maps, and then feather the map by using guided filter. In addition, we extend view synthesis method to deal the alpha channel. Experiment results show that the proposed method synthesizes 0.4 dB higher quality images than the conventional method without the matting. Also the proposed method synthesizes 0.2 dB higher quality images than the conventional method of robust matting. In addition, the computational cost of the proposed method is 100x faster than the conventional matting.Index Terms-view synthesis, alpha matting, depth image based rendering, depth map refinement.

show abstract

Section: Resultsmentioning

confidence: 99%

Filter based alpha matting for depth image based rendering

Kodera

Fukushima

Ishibashi

2013

2013 Visual Communications and Image Processing (VCIP)

Self Cite

View full text Add to dashboard Cite

show abstract

“…In addition, there are depth only depth sensors which do not have RGB sensors, such as ASUS Xtion, MESA Swiss Ranger SR4000. In addition, effect of the joint filters for accurate depth maps, which are captured by Kinect or semi-automatic depth estimation method [14], is lower than the inaccurate case. Therefore we focus on non-joint image type filtering for universal usages.…”

Section: Related Workmentioning

confidence: 99%

Removing depth map coding distortion by using post filter set

Fukushima

Inoue

Ishibashi

2013

2013 IEEE International Conference on Multimedia and Expo (ICME)

Self Cite

View full text Add to dashboard Cite

We propose a fast post filter set for removing coding distortions of depth maps. Lossy coding generates various distortions, such as mosquito and block noises, edge blurs, and over quantization. These distortions seriously deteriorate image quality of synthesized views in free viewpoint image rendering. Thus, we propose the post filter set which includes median filter, Gaussian filter, min-max blur remove filer, and binary weighted range filter to remove these noises. In experiments, we use various codecs, which are JPEG, JPEG-LS, JPEG2000, and H.264/AVC, for depth map coding, and synthesize views with the coded depth maps. Experimental results show that our post filter set can improves every codecs performance. Improvement of PSNR is larger than the conventional post filter, and especially JPEG is large. The computational time of the filter set, which is implemented by C++ with SIMD optimization, is within 5.2 ms at high bit rate cases, and within 15.3 ms at low bit rate cases.

show abstract

“…Fig. 5(a) shows a depth map used by MPEG, which is estimated with method [8]. It suffers from inaccuracies at depth edges and fine structures like the plant on the left or the balloon rope (also see Fig.…”

Section: Depth Map Enhancementmentioning

confidence: 99%

Depth estimation and depth enhancement by diffusion of depth features

Stefanoski¹,

Bal

Lang³

et al. 2013

2013 IEEE International Conference on Image Processing

View full text Add to dashboard Cite

Current trends in video technology indicate a significant increase in spatial and temporal resolution of video data. Recently, a linear-runtime feature diffusion algorithm was presented which aims for fast and accurate processing of such high resolution data. In this paper, we introduce this algorithm from the perspective of image-based depth estimation, expanding upon the algorithm by requiring interview consistency in the depth diffusion process. We also discuss different application scenarios and provide an indepth analysis of the method in this context.

show abstract

A semi-automatic multi-view depth estimation method

Cited by 16 publications

References 0 publications

Filter based alpha matting for depth image based rendering

Filter based alpha matting for depth image based rendering

Removing depth map coding distortion by using post filter set

Depth estimation and depth enhancement by diffusion of depth features

Contact Info

Product

Resources

About