My Account | Careers | Downloads | Blog

PROJECT TITLE :

Depth Sensation Enhancement for Multiple Virtual View Rendering

ABSTRACT:

Depth info is an indispensable element thorough image-based rendering (DIBR) for 3-dimensional (three-D) show. In this paper, we have a tendency to propose a completely unique depth sensation enhancement method to address the problems in multiple virtual read rendering. 1st, because the depth sensation is decreased when rendering intermediate multiple virtual views, the essential principle of depth sensation enhancement springs in step with the amount of rendering views. Second, with the rise of the scene complexity, it is difficult to make sure the depth sensation of all neighboring objects. The saliency analysis is adopted to offer most well-liked guarantee to the depth sensation between the salient object and its neighbors. Then, the depth sensation enhancement for multiple virtual read rendering is performed based on a defined energy operate engineered by the number of rendering views and also the saliency analysis. Finally, considering the temporal consistency between adjacent frames, the depth sensation enhancement is extended to video applications with a newly designed energy operate with energy term of temporal consistency preservation. Experimental results on a public database demonstrate that the proposed method can acquire promising performance in depth sensation.


Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here

PROJECT TITLE : Binocular Light-Field Imaging Theory and Occlusion-Robust Depth Perception Application ABSTRACT: The depth information can be reconstructed using binocular stereo vision (SV), although it is susceptible to scenes
PROJECT TITLE : Dynamic Scene Deblurring by Depth Guided Model ABSTRACT: Object movement, depth fluctuation, and camera shake are the most common causes of dynamic scene blur. For the most part, present approaches use picture
PROJECT TITLE : Parameter-Free Gaussian PSF Model for Extended Depth of Field in Brightfield Microscopy ABSTRACT: Conventional brightfield microscopes have a restricted depth of field, which prevents them from fully focusing
PROJECT TITLE : A Maximum Likelihood Approach for Depth Field Estimation Based on Epipolar Plane Images ABSTRACT: From dense picture arrays, this work presents a multi-resolution approach for determining depth. Hand-held plenoptic
PROJECT TITLE : Deep Color Guided Coarse-to-Fine Convolutional Network Cascade for Depth Image Super-Resolution ABSTRACT: The task of super-resolution of depth images is both significant and difficult. In order to deal with this

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry