background: one of the challenges of pet/mri combined systems is to derive an attenuation map to correct the pet image. for that, the pseudo-ct image could be used to correct the attenuation. until now, most existing scientific researches construct this pseudo-ct image using the registration techniques. however, these techniques suffer from the local minima of the non-rigid deformation energy f...

In deep learning-based local stereo matching methods, larger image patches usually bring better accuracy. However, it is unrealistic to increase the size of patch without restriction. Arbitrarily extending will change method into global method, and accuracy be saturated. We simplified existing Siamese convolutional network by reducing number parameters propose an efficient CNN based structure, ...

In this paper, a new approach for optimizing disparity candidates space is proposed for the solution of dense stereo matching problem. The main objectives of this approachare the reduction of average number of disparity candidates per pixel with low computational cost and high assurance of retaining the correct answer. These can be realized due to the effective use of multiple radial windows, i...

Stereo vision is important m determining three-dimensional positions of tile visible surfaces in images. Most existing stereo matching methods involve matching low-level image features such as edges. A stereo matching technique based on matching high-level image features is described in this paper. The high-level image features extracted are topographic structures, arc segments and region segme...