In this paper we propose a framework for the fusion of depth data produced by a Time-of-Flight (ToF) camera and stereo vision system. Initially, depth data acquired by the ToF camera are upsampled by an ad-hoc algorithm based on image segmentation and bilateral filtering. In parallel a dense disparity map is obtained using the Semi-Global Matching stereo algorithm. Reliable confidence measures ...

This paper investigates motion estimation and segmentation of independently moving objects in video sequences that contain depth and intensity information, such as videos captured by a Time of Flight camera. Specifically, we present a motion estimation algorithm which is based on integration of depth and intensity data. The resulting motion information is used to derive long-term point trajecto...

We present a novel variational approach to estimate dense depth maps from multiple images in real-time. By using robust penalizers for both data term and regularizer, our method preserves discontinuities in the depth map. We demonstrate that the integration of multiple images substantially increases the robustness of estimated depth maps to noise in the input images. The integration of our meth...

This article considers the problem of foreground detection on depth maps. The problem of finding objects of interest on images appears in many object detection, recognition and tracking applications as one of the first steps. However, this problem becomes too complicated for RGB images with multicolored or constantly changing background and in presence of occlusions. Depth maps provide valuable...

3D difference detection is the task to verify whether the 3D geometry of a real object exactly corresponds to a 3D model of this object. Detecting differences between a real object and a 3D model of this object is for example required for industrial tasks such as prototyping, manufacturing and assembly control. State of the art approaches for 3D difference detection have the drawback that the d...

We propose a fast depth reconstruction algorithm for stereo sequences using camera geometry and disparity estimation. In disparity estimation process, we calculate dense background disparity fields in an initialization step so that only disparities of moving object regions are updated in the main process using real-time segmentation and hierarchical disparity estimation techniques. The estimate...

Multi-Camera arrays are increasingly employed in both consumer and industrial applications, and various passive techniques are documented to estimate depth from such camera arrays. Current depth estimation methods provide useful estimations of depth in an imaged scene but are often impractical due to significant computational requirements. This paper presents a novel framework that generates a ...

Most of existing image retargeting approaches only use color information to help preserve important image content. In this paper, we exploit both color and depth information captured by an RGB-D camera to preserve important regions and maintain background structure. In particular, we introduce a depth-based importance map, such that deformation of the image is guided by this map. This depth-bas...

objective: when none of digital systems and scanners is accessible and it is essential to have digitized images of conventional radiographs, digital cameras can be used. the aim of this study was to investigate whether digital images obtained by different resolutions of a digital camera are matched to the original radiographs in evaluation of caries. methods: in this diagnostic accuracy in vitr...

In this paper, an accelerated generation algorithm to effectively generate an elemental image array in computational integral imaging system is proposed. In the proposed method, the depth information of 3D object is extracted from the images picked up by a stereo camera or depth camera. Then, the elemental image array can be generated by using the proposed accelerated generation algorithm with ...