Description:
Among the various techniques of Image Based Rendering, Lightfield
Rendering has been of special interest. The primary reason behind this is that
no depth information or feature matching is required to generate novel views.
The process of rendering just involves combining and resampling the given
images. Acquistion of image data however remains a challenging and time
consuming task. In most methods expensive, complex and bulky setups are being
used.
Here we describe a simple method of acquiring the image data
set. The method requires a normal handheld video camera, which is taken around
the object to be rendered. The simple computations involved make the method
suitable for online lightfield acquisition.
Reports
- An Uncalibrated Lightfield Acquisition System
Puneet Sharma, Angshuman Parashar, Subhashis Banerjee and Prem Kalra.
ICVGIP 2002.
- Extended version Accepted in the
Journal of Image and Vision Computing
Setup
Our experimental setup involves taking a handheld video camera around the object for which the lightfield is to be created. The object is placed between two planes, the frontal plane is transparent and both the planes have four identifiable points each, marked on them. The setup is shown below.
Rendering results
Nearest Neighbour Approximation vs Quadrilinear Interpolation
 |
 |
Nearest Neighbour Approximation |
Quadrilinear Interpolation |
 |
 |
Nearest Neighbour Approximation |
Quadrilinear Interpolation |
 |
 |
Nearest Neighbour Approximation |
Quadrilinear Interpolation |
 |
 |
Nearest Neighbour Approximation |
Quadrilinear Interpolation |
 |
 |
Nearest Neighbour Approximation |
Quadrilinear Interpolation |
Clay Dog Model
Lord Ganesha
 |