2014 |
a}, Katarzyna Rz{c; Luckner, Marcin 3D model reconstruction and evaluation using a collection of points extracted from the series of photographs Inproceedings 2014 Federated Conference on Computer Science and Information Systems, FedCSIS 2014, pp. 669–677, 2014, ISBN: 9788360810583. Abstract | Links | BibTeX | Tags: 3D reconstruction, Epipolar geometry, Features extraction, Image matching, Models evaluation @inproceedings{Luckner2014bb, title = {3D model reconstruction and evaluation using a collection of points extracted from the series of photographs}, author = {Katarzyna Rz{c{a}}zewska and Marcin Luckner}, url = {https://fedcsis.org/proceedings/2014/drp/304.html}, doi = {10.15439/2014F304}, isbn = {9788360810583}, year = {2014}, date = {2014-09-01}, booktitle = {2014 Federated Conference on Computer Science and Information Systems, FedCSIS 2014}, pages = {669--677}, abstract = {This work describes the whole process of 3D model reconstruction. It begins with the representation of the method that is used to find the matching between photographs and the methodology to use the data to form the initial structure of the reconstructed model, represented by a point cloud. As a next stage, a refinement process is performed, using the bundle adjustment method. A set of stereovision methods is used later on to find a more detailed solution. Those algorithms use pairs of images, therefore as a prerequisite a set of routines that aggregates those results is studied. The paper is concluded with a description of how the point cloud is processed, including the surface reconstruction, to form the result. The described methodology is illustrated with reconstructions of three series of professional photographs from a public repository and one series of amateur photographs created especially for this work. The results were evaluated by the proposed area matching and contour matching measures.}, keywords = {3D reconstruction, Epipolar geometry, Features extraction, Image matching, Models evaluation}, pubstate = {published}, tppubtype = {inproceedings} } This work describes the whole process of 3D model reconstruction. It begins with the representation of the method that is used to find the matching between photographs and the methodology to use the data to form the initial structure of the reconstructed model, represented by a point cloud. As a next stage, a refinement process is performed, using the bundle adjustment method. A set of stereovision methods is used later on to find a more detailed solution. Those algorithms use pairs of images, therefore as a prerequisite a set of routines that aggregates those results is studied. The paper is concluded with a description of how the point cloud is processed, including the surface reconstruction, to form the result. The described methodology is illustrated with reconstructions of three series of professional photographs from a public repository and one series of amateur photographs created especially for this work. The results were evaluated by the proposed area matching and contour matching measures. |
a}, Katarzyna Rz{c; Luckner, Marcin 3D model reconstruction and evaluation using a collection of points extracted from the series of photographs Inproceedings 2014 Federated Conference on Computer Science and Information Systems, FedCSIS 2014, pp. 669–677, 2014, ISBN: 9788360810583. Abstract | Links | BibTeX | Tags: 3D reconstruction, Epipolar geometry, Features extraction, Image matching, Models evaluation @inproceedings{Luckner2014bc, title = {3D model reconstruction and evaluation using a collection of points extracted from the series of photographs}, author = {Katarzyna Rz{c{a}}zewska and Marcin Luckner}, url = {https://fedcsis.org/proceedings/2014/drp/304.html}, doi = {10.15439/2014F304}, isbn = {9788360810583}, year = {2014}, date = {2014-09-01}, booktitle = {2014 Federated Conference on Computer Science and Information Systems, FedCSIS 2014}, pages = {669--677}, abstract = {This work describes the whole process of 3D model reconstruction. It begins with the representation of the method that is used to find the matching between photographs and the methodology to use the data to form the initial structure of the reconstructed model, represented by a point cloud. As a next stage, a refinement process is performed, using the bundle adjustment method. A set of stereovision methods is used later on to find a more detailed solution. Those algorithms use pairs of images, therefore as a prerequisite a set of routines that aggregates those results is studied. The paper is concluded with a description of how the point cloud is processed, including the surface reconstruction, to form the result. The described methodology is illustrated with reconstructions of three series of professional photographs from a public repository and one series of amateur photographs created especially for this work. The results were evaluated by the proposed area matching and contour matching measures.}, keywords = {3D reconstruction, Epipolar geometry, Features extraction, Image matching, Models evaluation}, pubstate = {published}, tppubtype = {inproceedings} } This work describes the whole process of 3D model reconstruction. It begins with the representation of the method that is used to find the matching between photographs and the methodology to use the data to form the initial structure of the reconstructed model, represented by a point cloud. As a next stage, a refinement process is performed, using the bundle adjustment method. A set of stereovision methods is used later on to find a more detailed solution. Those algorithms use pairs of images, therefore as a prerequisite a set of routines that aggregates those results is studied. The paper is concluded with a description of how the point cloud is processed, including the surface reconstruction, to form the result. The described methodology is illustrated with reconstructions of three series of professional photographs from a public repository and one series of amateur photographs created especially for this work. The results were evaluated by the proposed area matching and contour matching measures. |
Publications
2014 |
3D model reconstruction and evaluation using a collection of points extracted from the series of photographs Inproceedings 2014 Federated Conference on Computer Science and Information Systems, FedCSIS 2014, pp. 669–677, 2014, ISBN: 9788360810583. |
3D model reconstruction and evaluation using a collection of points extracted from the series of photographs Inproceedings 2014 Federated Conference on Computer Science and Information Systems, FedCSIS 2014, pp. 669–677, 2014, ISBN: 9788360810583. |