This paper presents a new inverse kinematics method that utilizes the motion data for realtime control and editing. The key idea is to extract parameters necessary for inverse kinematics from the motion data. These parameters are the weight matrix, which determines the motion of the redundant joints, and the transformation functions that define the motion of the end effectors. User can control ...

ABSTRACT Many image processing problems can be presented as inverse problems by modeling the relation of the observed image to the unknown desired features explicitly. Some of these problems are naturally presented as inverse problems such as restoration of blurred images (deconvolution) or image reconstruction in computed tomography. For some others, we need to translate the original problem a...

Recently inverse halftoning techniques are applied in many image processing applications, in which an efficient inverse halftoning method, that provides high quality gray-scale image from any binary halftone image, is required. In this paper we propose two neural networks based inverse halftoning methods, which are Multilayer Perceptron (MLP)-based and Radial Basis Function (RBF)-based inverse ...

This paper describes a method for pedestrian detection, identification and tracking using image information. The method makes use of two cameras with a shared field of view and is robust to changes in illumination and shadows. After a brief calibration process, in which the scene is divided coarsely into planar pieces (which are later optimised), the process requires no interaction and automati...

Abstract. This paper investigates the problem of reconstruction of 3D human motion pose from uncalibrated monocular video sequences. Firstly, we prove that the transform between the change of Z coordinate, (dz), and the corresponding change of scale factor s, (ds), is a linear transformation under perspective camera model. Then, we locate a frame in which the human figure with three linked body...

We propose a new method to compress error-diffused bilevel images with resolution scalability. This method is a combination of inverse halftoning and rehalftoning. For the inverse halftoning, we combine 232 dots into a single pixel of a resolution-reduced image, where each pixel has a multilevel value of 0, 1, 2, 3, and 4. After the inverse halftoning, the resolution-reduced multilevel image is...

It presents the comparison of the performance of discrete wavelets and Single-level inverse discrete 1-D wavelet transform for implementation in a still image compression system. Image compression is a method through which we can calculate the storage space of images which will helpful to calculate THR SORH, L2 norm. The performances of these transforms are compared in terms of Mean squared err...

A novel hybrid restoration scheme of defocused image is presented, which uses multivariate generalized additive model (MGAM) which is a nonparametric statistical regression model with no curse of dimensionality and inverse filtering (InvF). In this algorithm, firstly the five features of wavelet domain in defocused digital image, which are very stable relationship with the point spread function...

In the paper is presented one new approach for adaptive processing and compression of images of scanned documents, which contain text and pictures. In order to achieve high compression with maximum retained quality, the document content is analyzed and two corresponding regions of interest are set. Then, each region is processed as follows: the text – with lossless and the picture – with lossy ...