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In [[computer graphics]] and [[computer vision]], '''image-based modeling and rendering''' ('''IBMR''') methods rely on a set of two-dimensional images of a scene to generate a three-dimensional model and then [[rendering (computer graphics)|render]] some novel views of this scene. | |||
The traditional approach of computer graphics has been used to create a geometric model in 3D and try to reproject it onto a two-dimensional image. Computer vision, conversely, is mostly focused on detecting, grouping, and extracting features (edges, faces, ''etc.'') present in a given picture and then trying to interpret them as three-dimensional clues. Image-based modeling and rendering allows the use of multiple two-dimensional images in order to generate directly novel two-dimensional images, skipping the manual modeling stage. | |||
== Light modeling == | |||
Instead of considering only the physical model of a solid, IBMR methods usually focus more on light modeling. The fundamental concept behind IBMR is the [[plenoptic illumination function]] which is a parametrisation of the [[light field]]. The plenoptic function describes the light rays contained in a given volume. It can be represented with seven dimensions: a ray is defined by its position <math>(x,y,z)</math>, its orientation <math>(\theta,\phi)</math>, its wavelength <math>(\lambda)</math> and its time <math>(t)</math>: <math>P (x,y,z,\theta,\phi,\lambda,t)</math>. IBMR methods try to approximate the plenoptic function to render a novel set of two-dimensional images from another. Given the high dimensionality of this function, practical methods place constraints on the parameters in order to reduce this number (typically to 2 to 4). | |||
==IBMR methods and algorithms== | |||
*View [[morphing]] generates a transition between images | |||
*Panoramic imaging renders panoramas using image mosaics of individual still images | |||
*Lumigraph relies on a dense sampling of a scene | |||
*Space carving generates a 3D model based on a [[photo-consistency]] check | |||
<!--The above deserve better explanations here--> | |||
== See also == | |||
* [[View synthesis]] | |||
==External links== | |||
*[http://www.cs.ucl.ac.uk/staff/r.freeman/ Mixed Reality Toolkit (MRT)] - [[University College London]] | |||
*[http://insight3d.sourceforge.net/ insight3d ] - open source image-based 3d modeling software | |||
*[http://www.cs.washington.edu/homes/ccwu/vsfm/ VisualSFM] - GUI application of Multicore-accelerated SFM | |||
{{Mixed reality}} | |||
[[Category:Computer graphics]] | |||
[[Category:Mixed reality]] | |||
[[Category:Applications of computer vision]] | |||
{{compu-sci-stub}} | |||
Revision as of 07:30, 4 January 2014
In computer graphics and computer vision, image-based modeling and rendering (IBMR) methods rely on a set of two-dimensional images of a scene to generate a three-dimensional model and then render some novel views of this scene.
The traditional approach of computer graphics has been used to create a geometric model in 3D and try to reproject it onto a two-dimensional image. Computer vision, conversely, is mostly focused on detecting, grouping, and extracting features (edges, faces, etc.) present in a given picture and then trying to interpret them as three-dimensional clues. Image-based modeling and rendering allows the use of multiple two-dimensional images in order to generate directly novel two-dimensional images, skipping the manual modeling stage.
Light modeling
Instead of considering only the physical model of a solid, IBMR methods usually focus more on light modeling. The fundamental concept behind IBMR is the plenoptic illumination function which is a parametrisation of the light field. The plenoptic function describes the light rays contained in a given volume. It can be represented with seven dimensions: a ray is defined by its position , its orientation , its wavelength and its time : . IBMR methods try to approximate the plenoptic function to render a novel set of two-dimensional images from another. Given the high dimensionality of this function, practical methods place constraints on the parameters in order to reduce this number (typically to 2 to 4).
IBMR methods and algorithms
- View morphing generates a transition between images
- Panoramic imaging renders panoramas using image mosaics of individual still images
- Lumigraph relies on a dense sampling of a scene
- Space carving generates a 3D model based on a photo-consistency check
See also
External links
- Mixed Reality Toolkit (MRT) - University College London
- insight3d - open source image-based 3d modeling software
- VisualSFM - GUI application of Multicore-accelerated SFM
29 yr old Leather Products Maker Kamm from Regina, enjoys to spend some time listening to music, property developers in Singapore new condominium and collecting artwork. Enjoys travel and had been encouraged after visiting Central Sikhote-Alin.