Real-time depth-of-field rendering using single-layer composition

In this paper, we propose a single-layer post-processing method for real-time depth-of-field rendering that uses single-layer composition. In the proposed method, blurring is achieved by gathering background pixels and scattering foreground pixels. Major artifacts in post-filtering techniques such as intensity leakage and blurring discontinuity are reduced by using two different blurring functions and the controllable parameter in the gathering process. The method can be entirely implemented in GPU parallelization to achieve the real-time performance required for virtual reality. The results of comparisons of our method with recent post-processing methods in terms of rendering quality and rendering performance indicate that our method generates realistic natural images and is also the fastest in terms of frames per second. Copyright © 2014 John Wiley & Sons, Ltd.In this paper, we propose a single-layer post-processing method for real-time depth-of-field rendering that uses single-layer composition. In the proposed method, blurring is achieved by gathering background pixels and scattering foreground pixels. Major artifacts in post-filtering techniques such as intensity leakage and blurring discontinuity are reduced by using two different blurring functions and the controllable parameter in the gathering process. The method can be entirely implemented in GPU parallelization to achieve the real-time performance required for virtual reality. The results of comparisons of our method with recent post-processing methods in terms of rendering quality and rendering performance indicate that our method generates realistic natural images and is also the fastest in terms of frames per second. Copyright © 2014 John Wiley & Sons, Ltd

Accurate gaze tracking from single camera using gabor corner detector

Most of the existing gaze tracking schemes with high accuracy and high speed depend on infra-red (IR) lights and multi-cameras, which leads to high complexity of apparatus and high cost. Besides, many proposed approaches hardly offer a full discussion and solution of eye blink issue. In this paper, we propose a novel gaze tracking scheme which is capable of tracking eye movements in high accuracy. Our scheme incorporates the eye corner information extracted using a novel eye corner detector. This detector is developed based on the Gabor Wavelet Transform and the Structure Tensor. Gabor Wavelet Transform decomposes an image in multi-scales and multi-orientations, thus is robust against lighting variation and tiny shift. We abstract the distribution statistics of the feature points in the eye region and re-express it as a connectivity graph. Based on such abstraction we propose a novel solution to the eye blink issue which obtains a high successful detection rate. After implementation, our scheme is proven to be accurate compared with the state of the art. Notably, only one web camera is employed in our scheme without any auxiliary light source or cameras.Most of the existing gaze tracking schemes with high accuracy and high speed depend on infra-red (IR) lights and multi-cameras, which leads to high complexity of apparatus and high cost. Besides, many proposed approaches hardly offer a full discussion and solution of eye blink issue. In this paper, we propose a novel gaze tracking scheme which is capable of tracking eye movements in high accuracy. Our scheme incorporates the eye corner information extracted using a novel eye corner detector. This detector is developed based on the Gabor Wavelet Transform and the Structure Tensor. Gabor Wavelet Transform decomposes an image in multi-scales and multi-orientations, thus is robust against lighting variation and tiny shift. We abstract the distribution statistics of the feature points in the eye region and re-express it as a connectivity graph. Based on such abstraction we propose a novel solution to the eye blink issue which obtains a high successful detection rate. After implementation, our scheme is proven to be accurate compared with the state of the art. Notably, only one web camera is employed in our scheme without any auxiliary light source or cameras