Since depth-image-based rendering (DIBR) is one of the rendering processes to generate virtual views from the texture image and the depth map, we investigate DIBR as a core technique for threedimensional television. In this paper, we propose a new scheme to generate multi-view images using DIBR. In order to improve visual quality of multiview images at newly exposed areas, we preprocess the dep...

in conventional tillage systems, uniform depth tillage is applied over the entire field; however, the depth of hardpan layer varies greatly within the field. site-specific tillage, which modifies physical properties of soil only where the tillage is needed for crop growth, could achieve significant savings in fuel consumption and drawbar power requirements. site-specific tillage can be implemen...

For the high quality three-dimensional broadcasting, depth maps are important data. Although commercially available depth cameras capture highaccuracy depth maps in real time, their resolutions are much smaller than those of the corresponding color images due to technical limitations. In this paper, we propose the depth map up-sampling method using a high-resolution color image and a low-resolu...

Monocular depth estimation is a hot research topic in autonomous car driving. Deep convolution neural networks (DCNN) comprising encoder and decoder with transfer learning are exploited the proposed work for monocular map of two-dimensional images. Extracted CNN features from initial stages later upsampled using sequence Bilinear UpSampling layers to reconstruct map. The forms feature extractio...

Depth information captured by affordable depth sensors is characterized low spatial resolution, which limits potential applications. Several methods have recently been proposed for guided super-resolution of maps using convolutional neural networks to overcome this limitation. In a scheme, high-resolution are inferred from low-resolution ones with the additional guidance corresponding intensity...