Camera motion introduces spatially varying blur due to the depth changes in 3D world. This work investigates scene configurations where such is produced under parallax camera motion. We present a simple, yet accurate, Image Compositing Blur (ICB) model for depth-dependent blur. The (forward) produces realistic from single image, map, and trajectory. Furthermore, we utilize ICB model, combined w...

In this paper, we propose a method to generate a three-dimensional (3D) thermal map by overlaying thermal images onto a 3D surface reconstructed by a monocular RGB camera. In this method, we capture the target scene moving both an RGB camera and a thermal camera, which are mounted on the same zig. From the RGB image sequence, we reconstruct 3D structures of the scene by using Large-Scale Direct...

For a given camera setting, scene points that lie outside of depth of field (DOF) will appear defocused (or blurred). Defocus causes a loss in image details. To recover details from a defocused region, deblurring techniques must be employed. It is well known that deblurring quality is closely related to the defocus kernel or point-spread-function (PSF), whose shape is largely determined by the ...

OF THESIS Per-Pixel Calibration for RGB-Depth Natural 3D Reconstruction on GPU Ever since the Kinect brought low-cost depth cameras into consumer market, great interest has been invigorated into Red-Green-Blue-Depth (RGBD) sensors. Without calibration, a RGBD camera’s horizontal and vertical field of view (FoV) could help generate 3D reconstruction in camera space naturally on graphics processi...

This paper presents a predictive-coding algorithm for the compression of multiple depth-sequences obtained from a multi-camera acquisition setup. The proposed depth-prediction algorithm works by synthesizing a virtual depth-image that matches the depth-image (of the predicted camera). To generate this virtual depth-image, we use an image-rendering algorithm known as 3D image-warping. This newly...

Automatic camera calibration has remained a hard topic in computer vision since its inception due to its reliance on the image corresp ondence problem. This problem becomes even more pronounced when calibrating a depth image with a color image due to a lack of simple corresp ondences between the two modalities. In this work, we develop a completely automatic, very fast, online algorithm that de...

This paper suggests an approach in fusing two 3D estimation techniques: stereo vision and Time-Of-Flight (TOF) imaging. By mapping the TOF-depth measurements to stereo disparities, the correspondence between the images from a fast TOF-camera and standard high resolution camera pair are found, so the TOF depth measurements can be linked to the image pairs. In the same framework, a method is deve...

The plenoptic camera is a tool capable of recording significantly more data concerning a particular image than a conventional camera. This additional data is analyzed to produce several views of a particular phenomenon as though taken at different locations with a single exposure. The separate views are then compared using correlation algorithms on features within a scene to find a disparity ma...

The accuracy of a depth map acquired using triangulation or stereo techniques is limited by the resolution of the sensor, and by the accuracy with which distortions of the image can be calibrated. This paper lists the sources of error in an imaging system, and concludes that most of them can be removed by careful camera design and calibration, with the exception of the spatial quantisation (dis...