417–424īertalmio M, Vese L, Sapiro G, Osher S (2003) Simultaneous structure and texture image inpainting. In: The ACM special interest group on computer graphics, pp. IEEE Trans on Robot 34(5):1315–1332īertalmio M, Sapiro G, Caselles V, Ballester C (2000) Image inpainting.

ACM Trans Graph 28(3):24īasso F, Menegatti E, Pretto A (2018) Robust intrinsic and extrinsic calibration of rgb-d cameras. The results show the effectiveness of our method.īarnes C, Shechtman E, Finkelstein A, Goldman DB (2009) Patchmatch: a randomized correspondence algorithm for structural image editing. Extensive experiments were conducted on different evaluation datasets. Second, an improved hole filling approach for DIBR is proposed to synthesize the 3D images by using the corresponding color images and the inpainted depth maps. Different schemes are used to inpaint the different types of holes. This paper proposes a new RGB-D sensor based depth map inpainting method that divides the regions with missing depths into interior holes and border holes. First, the depth maps captured directly by RGB-D sensors are generally of poor quality because there are many regions missing depth information, especially near the edges of objects.

The quality of the depth map and the DIBR algorithm are crucial to this process. An RGB-D sensor is one of the inexpensive ways to capture an image and its corresponding depth map. To generate a 3D image, one approach is to combine the original 2D color image and its corresponding depth map together to perform depth image-based rendering (DIBR). This paper presents a new technique for the automatic conversion of 2D to 3D video based on RGB-D sensors, which can be easily conducted by ordinary users. 3D movies/videos have become increasingly popular in the market however, they are usually produced by professionals.

2d to 3d video converter