Browsing by Author "Lee, Tzu-Chin"

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VIRTUAL VIEW SYNTHESIS QUALITY REFINEMENT
(2016)
Lee, Tzu-Chin
;
Chien, Chun-Liang
;
Hang, Hsueh-Ming
;
電子工程學系及電子研究所
;
Department of Electronics Engineering and Institute of Electronics
A 3D virtual view synthesis system is to generate a virtual view at an arbitrary viewpoint from the texture and depth information of multiple reference views. There are several technical challenges in producing a high-quality synthesized view such as warping, blending, ghost artifact reduction and hole filling. Four tools ( techniques) have been proposed in this paper to solve these problems. They are unreliable region extraction, fast backward warping, adaptive blending, and hole filling by using the constructed background models. Other techniques such as disocclusion detection, bicubic interpolation, and background model construction are also employed in the proposed algorithm. All above techniques have been designed and tested on the MPEG test sequences. Experimental results show that high-quality virtual views are generated with fewer artifacts.
VIRTUAL VIEW SYNTHESIS USING RGB-D CAMERAS
(2016)
Chien, Chun-Liang
;
Lee, Tzu-Chin
;
Hang, Hsueh-Ming
;
電子工程學系及電子研究所
;
Department of Electronics Engineering and Institute of Electronics
A view synthesis problem is to generate a virtual view based on the given one or multiple views and their associated depth maps. We adopt the depth image based rendering (DIBR) approach in this paper for synthesizing the new views. No explicit 3D modeling is involved. Another component of this study is the popular commodity RGB-D (color plus depth) cameras. The color and depth images captured by a pair of RGB-D cameras (Microsoft Kinect for Windows v2) are our inputs to synthesize intermediate virtual views between these two cameras. Several methods include depth to color warping, disocclusion filling, and color to color warping are adopted and designed to achieve this target. One of our major contributions is a new disocclusion detection algorithm proposed to improve the disocclusion filling result. Furthermore, an improved camera calibration method is proposed to make use of the additional depth information. Good quality synthesized views are shown at the end.