No abstract

No abstract

Abstract-This paper proposes an algorithm pipeline for estimating the camera orientation based on vanishing points computation targeting pedestrian navigation assistance in Manhattan World. Inspired from some of published methods, the proposed pipeline introduces a novel sampling strategy among finite and infinite vanishing points and a tracking along a video sequence to enforce the robustness by extracting the three most pertinent orthogonal directions while preserving a short processing time for real-time application. Experiments on real images and video sequences show that the proposed heuristic strategy for selecting orthogonal vanishing points is pertinent as our algorithm gives better results than the recently published RNS optimal method [16], in particular for the yaw angle, which is actually essential for navigation task.

Abstract. Bioluminescence imaging is a recent modality to visualize biological effects more especially for small animals. However the acquired images are degraded by diffusion and absorption phenomena from the tissue and by the acquisition system itself. In this paper, we use restoration methods to enhance the quality of bioluminescence images. We propose a model for image formation and an experimental determination of the PSF (Point Spread Function). Several methods of restoration are compared on test images generated according to the model and on real data. This comparison is insured by using MSE (Mean Square Error) and two quantitative criteria. Results establish that the statistical methods give more accurate restoration and well adapted for Bioluminescence Imaging.