Benchmark_Dataset/
------------------
This dataset contains eight triples of historical images for four different sights. 
The images are saved after digitization in full quality as *.tif files with a maximum sidelength of 3543 Px.
Since no inner orientation could be determined for all image triples the Trifocal Tensor is provided - calculated using Ressl's method (Ressl, 2003).
Additional metadata information, copyright disclaimer and permalinks are provided in License.txt.
The purpose of the dataset is the evaluation of different feature detection and matching methods using the given orientation with the Trifocal Tensor.
Point transfer calculation is possible using the equation on p. 382 in Multiple View Geometry in Computer Vision (Hartley and Zisserman, 2003).
Another method uses the corrected Fundamental Matrices calculated in eq. 15.8 from the Trifocal Tensor on p. 374 in Multiple View Geometry in Computer Vision (Hartley and Zisserman, 2003).

Directory containing the four different datasets 
Hofkirche/ 
Moritzburg/ 
Semperoper/ 
Zwinger/
the license file for copyright issues License.txt - see the License file for description of single images and additional metadata
and the file you are reading README.txt

Hofkirche/
	Triple_1/
		1.tif - First image of the first triple of the dataset Hofkirche in full quality
		2.tif - Second image of the first triple of the dataset Hofkirche in full quality
		3.tif - Third image of the first triple of the dataset Hofkirche in full quality
		coords_1.txt - User determined coordinates of homologue points in the first image [x', y']
		coords_2.txt - User determined coordinates of homologue points in the second image
		coords_3.txt - User determined coordinates of homologue points in the third image
		Tensor_Hofkirche_123.txt - Calculated Trifocal Tensor using Ressl's method [3x3, 3x3, 3x3] for image triple 1, 2, 3 (Ressl, 2003)
		Tensor_Hofkirche_231.txt - Trifocal Tensor for image triple 2, 3, 1
		
		Results/
			Includes the result files for different matching strategies explained in the paper
	Triple_2/
		1.tif - First image of the second triple of the dataset Hofkirche in full quality
		2.tif - Second image of the second triple of the dataset Hofkirche in full quality
		3.tif - Third image of the second triple of the dataset Hofkirche in full quality
		coords_1.txt - User determined coordinates of homologue points in the first image [x', y']
		coords_2.txt - User determined coordinates of homologue points in the second image
		coords_3.txt - User determined coordinates of homologue points in the third image
		Tensor_Hofkirche_123.txt - Calculated Trifocal Tensor using Ressl's method [3x3, 3x3, 3x3] for image triple 1, 2, 3 (Ressl, 2003)
		Tensor_Hofkirche_231.txt - Trifocal Tensor for image triple 2, 3, 1
		
		Results/
			Includes the result files for different matching strategies explained in the paper
			
Moritzburg/
	Triple_1/
		1.tif - First image of the first triple of the dataset Moritzburg in full quality
		2.tif - Second image of the first triple of the dataset Moritzburg in full quality
		3.tif - Third image of the first triple of the dataset Moritzburg in full quality
		coords_1.txt - User determined coordinates of homologue points in the first image[x', y']
		coords_2.txt - User determined coordinates of homologue points in the second image
		coords_3.txt - User determined coordinates of homologue points in the third image
		Tensor_Moritzburg_123.txt - Calculated Trifocal Tensor using Ressl's method [3x3, 3x3, 3x3] for image triple 1, 2, 3 (Ressl, 2003)
		Tensor_Moritzburg_231.txt - Trifocal Tensor for image triple 2, 3, 1
		
		Results/
			Includes the result files for different matching strategies explained in the paper
	Triple_2/
		1.tif - First image of the second triple of the dataset Moritzburg in full quality
		2.tif - Second image of the second triple of the dataset Moritzburg in full quality
		3.tif - Third image of the second triple of the dataset Moritzburg in full quality
		coords_1.txt - User determined coordinates of homologue points in the first image[x', y']
		coords_2.txt - User determined coordinates of homologue points in the second image
		coords_3.txt - User determined coordinates of homologue points in the third image
		Tensor_Moritzburg_123.txt - Calculated Trifocal Tensor using Ressl's method [3x3, 3x3, 3x3] for image triple 1, 2, 3 (Ressl, 2003)
		Tensor_Moritzburg_231.txt - Trifocal Tensor for image triple 2, 3, 1
		
		Results/
			Includes the result files for different matching strategies explained in the paper
			
Semperoper/
	Triple_1/
		1.tif - First image of the first triple of the dataset Semperoper in full quality
		2.tif - Second image of the first triple of the dataset Semperoper in full quality
		3.tif - Third image of the first triple of the dataset Semperoper in full quality
		coords_1.txt - User determined coordinates of homologue points in the first image[x', y']
		coords_2.txt - User determined coordinates of homologue points in the second image
		coords_3.txt - User determined coordinates of homologue points in the third image
		Tensor_Semperoper_123.txt - Calculated Trifocal Tensor using Ressl's method [3x3, 3x3, 3x3] for image triple 1, 2, 3 (Ressl, 2003)
		Tensor_Semperoper_231.txt - Trifocal Tensor for image triple 2, 3, 1
		
		Results/
			Includes the result files for different matching strategies explained in the paper
	Triple_2/
		1.tif - First image of the second triple of the dataset Semperoper in full quality
		2.tif - Second image of the second triple of the dataset Semperoper in full quality
		3.tif - Third image of the second triple of the dataset Semperoper in full quality
		coords_1.txt - User determined coordinates of homologue points in the first image[x', y']
		coords_2.txt - User determined coordinates of homologue points in the second image
		coords_3.txt - User determined coordinates of homologue points in the third image
		Tensor_Semperoper_123.txt - Calculated Trifocal Tensor using Ressl's method [3x3, 3x3, 3x3] for image triple 1, 2, 3 (Ressl, 2003)
		Tensor_Semperoper_231.txt - Trifocal Tensor for image triple 2, 3, 1
		
		Results/
			Includes the result files for different matching strategies explained in the paper

Zwinger/
	Triple_1/
		1.tif - First image of the first triple of the dataset Zwinger in full quality
		2.tif - Second image of the first triple of the dataset Zwinger in full quality
		3.tif - Third image of the first triple of the dataset Zwinger in full quality
		coords_1.txt - User determined coordinates of homologue points in the first image[x', y']
		coords_2.txt - User determined coordinates of homologue points in the second image
		coords_3.txt - User determined coordinates of homologue points in the third image
		Tensor_Zwinger_123.txt - Calculated Trifocal Tensor using Ressl's method [3x3, 3x3, 3x3] for image triple 1, 2, 3 (Ressl, 2003)
		Tensor_Zwinger_231.txt - Trifocal Tensor for image triple 2, 3, 1
		
		Results/
			Includes the result files for different matching strategies explained in the paper
	Triple_2/
		1.tif - First image of the second triple of the dataset Zwinger in full quality
		2.tif - Second image of the second triple of the dataset Zwinger in full quality
		3.tif - Third image of the second triple of the dataset Zwinger in full quality
		coords_1.txt - User determined coordinates of homologue points in the first image[x', y']
		coords_2.txt - User determined coordinates of homologue points in the second image
		coords_3.txt - User determined coordinates of homologue points in the third image
		Tensor_Zwinger_123.txt - Calculated Trifocal Tensor using Ressl's method [3x3, 3x3, 3x3] for image triple 1, 2, 3 (Ressl, 2003)
		Tensor_Zwinger_231.txt - Trifocal Tensor for image triple 2, 3, 1
		
		Results/
			Includes the result files for different matching strategies explained in the paper


Ressl, C., 2003. Geometry, constraints and computation of the
trifocal tensor. TU Wien.

Hartley, R. and Zisserman, A., 2003. Multiple view geometry in
computer vision. Cambridge university press.


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Metadata is partially provided by SLUB Dresden / Deutsche Fotothek


