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Traditional stereo matching approaches generally have problems in handling textureless regions, strong occlusions and reflective regions that do not satisfy a Lambertian surface assumption. In this paper, we propose to combine the predicted surface normal by deep learning to overcome these inherent difficulties in stereo matching. With the selected reliable disparities from stereo matching method...
The intensity of the light observed from every position and direction in a real scene can be modeled as a highdimensional field, namely the plenoptic function. This field codes the radiance information as a function of space, orientation, wavelength, and time. In the scope of depth estimation, several strategies have been developed to obtain a representation of the spatial structure of a scene. However,...
This paper addresses the challenge of detecting and localizing a poorly textured known object, by initially estimating its complete 3D pose in a video sequence. Our solution relies on the 3D model of the object and synthetic views. The full pose estimation process is then based on foreground/background segmentation and on an efficient probabilistic edge-based matching and alignment procedure with...
The important step in 3D data generation for 3D display system is the estimation of depth map. Depth map is a gray-level image which has exactly the same size of the original captured 2D image data that indicates the relative or apparent distance of each pixel from the camera to the objects in the real world. The Depth From Focus techniques use a search for the most in-focus position over a sequence...
With advances in 3DTV technology, video stereolization has attracted much attention in recent years. Although video stereolization can enrich stereoscopic 3D contents, it is hard to create good depth maps from monocular 2D videos. In this paper, we propose an automatic example-based video stereolization method with foreground segmentation and depth propagation, called EBVS. To consider both performance...
Considering the increasing need of the contents of 3D video, it is significant to do some research in 2D-to-3D conversion. The depth map is necessary for this processing. In this paper, we propose an effective method to estimate the depth information of the low depth field images of static scenes. Firstly, construct a high-order statistics (HOS) map, which represents the high-frequency components...
Transparent objects are ubiquitous in human environments but, due to their special interaction with light, very few vision methods exist to identify them. We propose a new algorithm for recognition and pose estimation of rigid transparent objects which can deal with overlapping instances and cluttered environments. Using an active depth sensor for segmentation of the objects and 2d edge analysis for...
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