A new method is described for recovering the distance of objects in a scene from images formed by lenses. The recovery is based on measuring the change in the scene’s image due to a known change in the three intrinsic camera parameters: (i) distance between the lens m d the image detector, (ii) focal length of the lens, and (iii) diameter of the lens aperture. The method is parallel involving s...

We augment the piano keyboard with a 3D gesture space using Microsoft Kinect for sensing and top-down projection for visual feedback. This interface provides multi-axial gesture controls to enable continuous adjustments to multiple acoustic parameters such as those on the typical digital synthesizers. We believe that using gesture control is more visceral and aesthetically pleasing, especially ...

Due to the low precision, the consumer-grade depth sensor is often calibrated jointly with a color camera, and the joint calibration sometimes presents undesired interactions. In this paper, we propose a novel method to carry out the high-accuracy intrinsic calibration of depth sensors merely by the depth camera, in which the traditional calibration rig, checker-board pattern, is replaced with ...

In the proposed method, the relative depth of the objects present in a 3D scene is calculated, using 2D images captured from a camera placed on a rotating platform. Unlike the conventional stereo imaging system, the proposed method captures multiple views of a 3D scene, each view taken at a different camera positions while on the rotating platform. The approach adapted calculates the disparity ...

In this paper we present a method for real-time detection and tracking of people in video captured by a depth camera. For each object to be assessed, an ordered sequence of values that represents the distances between its center of mass to the boundary points is calculated. The recognition is based on the analysis of the total distance value between the above sequence and some pre-defined human...

In this paper, we propose a direct depth map acquisition method for a convergent camera array as well as a parallel camera array. Since image rectification is necessary for conventional stereo matching methods, disparity values are found in the same horizontal line of stereo images. Consecutively, the acquired disparity values are transformed to depth values. However, image rectification may le...

Three-dimensional content (3D) creation has received a lot of attention due to numerous successes of 3D entertainment. Accurate estimation of depth information is necessary for efficient 3D content creation. In this paper, we propose a disparity map estimation method based on stereo correspondence. The proposed system utilizes depth and stereo camera sets. While the stereo set carries out dispa...

background and aims. digital radiographs have some advantages over conventional ones. application of digital receptors is not routine yet. therefore, there is a need for digitizing conventional radiographs. the aim of the present study was to compare the diagnostic accuracy of digitized conventional radiographs by scanner and camera in detection of proximal caries. material and methods. three h...

We present a system for augmenting depth camera output using multispectral photometric stereo. The technique is demonstrated using a Kinect sensor and is able to produce geometry independently for each frame. Improved reconstruction is demonstrated using the Kinect’s inbuilt RGB camera and further improvements are achieved by introducing an additional high resolution camera. As well as qualitat...