Removing camera motion blur from a single light field is a challenging task since it is highly ill-posed inverse problem. The problem becomes even worse when blur kernel varies spatially due to scene depth variation and high-order camera motion. In this paper, we propose a novel algorithm to estimate all blur model variables jointly, including latent sub-aperture image, camera motion, and scene...

Gesture recognition is essential for human – machine interaction. In this paper we propose a method to recognize human gestures using a Kinect® depth camera. The camera views the subject in the front plane and generates a depth image of the subject in the plane towards the camera. This depth image is then used for background removal, followed by generation of the depth profile of the subject. I...

In this paper, we propose an algorithm for generation of multiple depth images from one depth map using multi-baseline information. Although depth information is essential in three-dimensional (3-D) applications, the depth estimation from stereo matching is still time consuming and inaccurate. Since the real-time application like free viewpoint TV (FTV) require multiple depth information, stere...

We describe a leaf region detection and area calculation algorithm for estimating the growing conditions of small tomatoes. In detection, color image taken by depth camera is analyzed processing. The divided into more than one hundred quadrangle meshs, spatial coordinates vertices mesh are calculated from information obtained camera. To reduce effect measurement noise, an approximate surface ex...

In this paper, we propose an automatic alpha matting method that improves the quality of alpha matte using a depth camera. Depth camera obtains both visual and depth information of moving objects in real time. Our matting method improves existing natural alpha matting methods by adding depth information. Experimental results demonstrate that our matting method generates better results than the ...

Time-of-flight (ToF) cameras are becoming more and more popular in computer vision. In many applications 3D information delivered by a ToF camera is used, and it is very important to know the camera’s extrinsic and intrinsic parameters, as well as precise depth information. A straightforward algorithm to calibrate a ToF camera is to use a standard color camera calibration procedure [12], on the...