Depth-Image-Based Rendering (DIBR) can synthesize a virtual view image from set of multiview images and corresponding depth maps. However, this requires an accurate map estimation that incurs high compu- tational cost over several minutes per frame in DERS (MPEG-I’s Depth Estimation Reference Software) even by using high-class computer. LiDAR cameras thus be alternative solution to real-time DI...

Depth map estimation is a prerequisite for useful plenoptic rendering algorithms, such as all-in-focus rendering and depth-based matting. We provide a simple GPU-based algorithm that estimates the depth of each pixel in the rendered image as well as the uncertainty of that estimate. We perform several rendering experiments using depth information. Finally, explore what factors harm the accuracy...

The paper presents a novel approach to occlusion handling problem in depth estimation using three views. A solution based on modification of similarity cost function is proposed. During the depth estimation via optimization algorithms like Graph Cut similarity metric is constantly updated so that only non-occluded fragments in side views are considered. At each iteration of the algorithm non-oc...

Given an off-the-shelf camera, one has the freedom to move the camera or play around with its intrinsic parameters such as zoom or aperture settings. We propose a framework for depth estimation from a set of calibrated images, captured under general camera motion and parameter variation. Our framework considers the practical trade-offs in a camera and hence essentially generalizes the more cons...

Light-field cameras have now become available in both consumer and industrial applications, and recent papers have demonstrated practical algorithms for depth recovery from a passive single-shot capture. However, current lightfield depth estimation methods are designed for Lambertian objects and fail or degrade for glossy or specular surfaces. Because light-field cameras have an array of micro-...

This article deals with the depth observability problem of a robot visual system with a moving camera. In the visual system, the unknown depth of a feature point is estimated from the input of the camera velocity and the output of the image of the feature point. Although it is well known that the linear velocity of the camera must satisfy some constraints for successful depth estimation, this p...

End-effectors are usually related to the location of limbs, and their reliable detection enables robust body tracking as well as accurate pose estimation. Recent innovation in depth cameras has re-stated the pose estimation problem. We focus on the information provided by these sensors, for which we borrow the name 2.5D data from the Graphics community. In this paper we propose a human pose est...

We analyze the effect of perturbations on the estimation of Depth from Defocus (DFD) implemented by changing the focus setting (e.g., axially moving the sensor). The analysis yields the optimal change of focus setting, and the spatial frequencies for which estimation is most robust. For stable estimation at all spatial frequencies, the change in focus setting should be less than twice the depth...

We combine monocular depth estimation with motion segmentation techniques to produce split-depth GIFs (GIF is a common animated image format, and split-depth is a technique to enhance the 3-D effect of the GIF by inserting white bars that split the depth of the scene). We use a deep convolutional neural field (DCNF) model to perform monocular depth estimation, and also perform motion segmentati...