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Terrain Data Set


Introduction

This is a complex scene with around twelve objects. It has a base terrain object, many trees and grass objects. These objects are ac3d objects which have been imported into the tool and placed to a complex scene. This scene is a dynamic scene unlike the other two data sets which are static. This is a data set which is ideal for testing motion tracking algorithms.


Terrain Data

TerrainDataThis data set includes the following ::

  • Images of the scene in Images directory.
  • Depth-maps of the scene in DepthMaps directory.
  • Alpha-maps of the scene in AlphaMaps directory.
  • Object-maps of the scene in ObjMaps directory.
  • Scene file used for creating this data BoxTrees.scene.
  • Models used in the scene models directory.
  • Each directory in this data set consists of various frames in the scene.

Comic Scene Data Set


Introduction

This is a complex scene with around five objects. It has two ape objects, a tux object, a globe object and finally a box object. These objects are ac3d objects which have been imported into the tool and placed to a complex scene. This is a data set which is ideal for testing segmentation algorithms. This scene has may parts of the objects occuluded and could be a good test for accuracy of such algorithms.


Comic Scene Data

ComicSceneThis data set includes the following ::

  • Images of the scene in Images directory.
  • Depth-maps of the scene in DepthMaps directory.
  • Alpha-maps of the scene in AlphaMaps directory.
  • Object-maps of the scene in ObjMaps directory.
  • Scene file used for creating this data BoxTrees.scene.
  • POV-Ray scene description of the scene BoxTrees.pov.
  • Models used in the scene models directory.

Box & Trees Data Set


This is a complex scene with around eight objects. It has around five trees and some grass objects. These objects are ac3d objects which have been imported into the tool and placed to a complex scene. This is a data set which is ideal for testing alpha matte algorithms. The thin corners of the leaves of plants are difficult to seperate out. This data set provides a set of images rendered at various resolutions.


Box Trees Data

BoxTreesThis data set includes the following ::

  • Images of the scene in Images directory.
  • Depth-maps of the scene in DepthMaps directory.
  • Alpha-maps of the scene in AlphaMaps directory.
  • Object-maps of the scene in ObjMaps directory.
  • Scene file used for creating this data BoxTrees.scene.
  • POV-Ray scene description of the scene BoxTrees.pov.
  • Models used in the scene models directory.
  • Each directory includes different resolutions of the representations.

DGTk Project Page


Introduction

DGTk is a unique tool which provides the UI of a standard 3D authoring tool and at the same time enables the users to generate various representations like depth-maps, alpha-maps, object-maps, etc which are very precious for the CV and IBR researchers. Two years in the making, this tool has evolved from a simple command line based tool to a fully 3D visualization and rendering software. The user can with ease create dynamic scenes with complex animations. The major goal in development of this tool was to reduce the time spent by researchers in creating or finding data sets for testing their algorithms. Another major goal was to make sharing of data as easy as possible. We have developed a new high level scene representation format which enables users to exchange the data generation medium rather than the data itself.


Downloads

The idea behind creating this tool was to provide the CV and IBR research community with a tool which would provide a standard method for creating test data. This tool is hence provided for the community under GPL along with some of the data sets generated.

  • Download source code of DGTk [Click]. Contains::
    • Source files (.cpp and .h)
    • ReadMe.txt (a brief description about our tool).
    • INSTALL (process of getting started with the tool).
  • User manual for DGTk [Click].
  • Download the manual for the scene file description [Click].

Example Data Sets

 BoxTrees ComicScene   TerrainData

 


Associated People

  • V. Vamsi Krishna
  • Prof. P. J. Narayanan

 

Image Reconstruction


Improving resolution of tomographic images has been an active area of research in the past few years. This is of special interest in nuclear imaging where the image resolution is limited by the permissible dosage. Super resolution (SR) techniques based on combination of a set of low resolution images with spatial shifts have been examined for PET and CT images.

Our research is focused on obtaining high quality upsampled tomographic images. The technique we have developed for upsampling uses samples drawn from union of rotated lattices. Both hexagonal and square lattices have been studied. Such a technique has the benefit that the number of images required for deriving the synthetically zoomed output is minimal.

U12 1

 

hoffman H12 4 compliment hoffman H12 4 spectrum
  Reconstructed (upscaled by a factor of 4) RoI on union of rotated hexagonal lattice and its spectrum

 

hoffman struct SR4 compliment  hoffman SR 4 spectrum 
Reconstructed (upscaled by a factor of 4) RoI on union of shifted square lattice and its spectrum

 


People Involve

  • Neha
  • Kartheek

More Articles …

  1. Brain Image Analysis
  2. Histo Pathological Image Analysis
  3. Retinal Image Analysis
  4. Semantic Classification of Boundaries of an RGBD Image
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