An image-based model reconstruction system is described in this paper where real images of a rigi... more An image-based model reconstruction system is described in this paper where real images of a rigid object acquired under a simple but controlled environment are used to recover its three dimensional geometry and its surface texture. Based on a multi-image calibration method, an algorithm to extract the rotation axis of a turn-table has been developed. Furthermore, this algorithm can be extended to estimate robustly the initial bounding volume of the object to be modeled. The coarse volume obtained is then carved using a stereo correction method which removes the disadvantages of silhouette-based reconstruction by photoconsistency. The concept of surface particles is adapted in order to extract a texture map for the model. Some existing metrics are used to measure the quality of the reconstructed models.
This paper describes a new framework, called repulsive attractive (RA) network for baseline extra... more This paper describes a new framework, called repulsive attractive (RA) network for baseline extraction on document images. The RA network is an energy minimizing dynamical system, which interacts with the document text image through the attractive and repulsive forces de"ned over the network components and the document image. Experimental results indicate that the network can successfully extract the baselines under heavy noise and overlaps between the ascending and descending portions of the characters of adjacent lines. The proposed framework is applicable to a wide range of image processing applications, such as curve "tting, segmentation and thinning.
This paper describes a new framework, called repulsive attractive (RA) network for baseline extra... more This paper describes a new framework, called repulsive attractive (RA) network for baseline extraction on document images. The RA network is an energy minimizing dynamical system, which interacts with the document text image through the attractive and repulsive forces de"ned over the network components and the document image. Experimental results indicate that the network can successfully extract the baselines under heavy noise and overlaps between the ascending and descending portions of the characters of adjacent lines. The proposed framework is applicable to a wide range of image processing applications, such as curve "tting, segmentation and thinning.
An image based model reconstruction system is described. Real images of a rigid object acquired u... more An image based model reconstruction system is described. Real images of a rigid object acquired under a simple but controlled environment are used to recover the three dimensional geometry and the surface appearance. Based on a multi-image calibration method, an algorithm to extract the rotation axis of a turn-table has been developed. Furthermore, this can be extended to estimate robustly the initial bounding volume of the object to be modeled. The coarse volume obtained, is then carved using a stereo correction method which removes the disadvantages of silhouette based reconstruction by photoconsistency. The concept of surface particles is adapted in order to extract a texture map for the model. Some metrics are defined to measure the quality of the reconstructed models.
IEEE Transactions on Systems, Man, and Cybernetics, 2003
The goal of this study is to investigate the reconstruction of 3D graphical models of real object... more The goal of this study is to investigate the reconstruction of 3D graphical models of real objects in a controlled imaging environment and present the work done in our group based on silhouette-based reconstruction. Although many parts of the whole system have been well-known in the literature and in practice, the main contribution of the paper is that it describes a complete, end-to-end system explained in detail. Based on a multi-image calibration method, an algorithm to extract the rotation axis of a turn-table has been developed. Furthermore, this can be extended to estimate robustly the initial bounding volume of the object to be modeled. The disadvantages of the silhouette-based reconstruction can be removed by an algorithm using photoconsistency. This algorithm has a simpler visibility check, and it eliminates the selection of threshold existing in similar algorithms. Besides, in order to construct the appearance, we use the concept of particles. The reconstruction results are shown both on real world and synthetic objects.
The goal of this study is to investigate the reconstruction of 3D graphical models of real object... more The goal of this study is to investigate the reconstruction of 3D graphical models of real objects in a controlled imaging environment and present the work done in our group based on silhouette-based reconstruction. Although many parts of the whole system have been well-known in the literature and in practice, the main contribution of the paper is that it describes a complete, end-to-end system explained in detail. Based on a multi-image calibration method, an algorithm to extract the rotation axis of a turn-table has been developed. Furthermore, this can be extended to estimate robustly the initial bounding volume of the object to be modeled. The disadvantages of the silhouette-based reconstruction can be removed by an algorithm using photoconsistency. This algorithm has a simpler visibility check, and it eliminates the selection of threshold existing in similar algorithms. Besides, in order to construct the appearance, we use the concept of particles. The reconstruction results are shown both on real world and synthetic objects.
This paper describes a new framework, called repulsive attractive (RA) network for baseline extra... more This paper describes a new framework, called repulsive attractive (RA) network for baseline extraction on document images. The RA network is an energy minimizing dynamical system, which interacts with the document text image through the attractive and repulsive forces de"ned over the network components and the document image. Experimental results indicate that the network can successfully extract the baselines under heavy noise and overlaps between the ascending and descending portions of the characters of adjacent lines. The proposed framework is applicable to a wide range of image processing applications, such as curve "tting, segmentation and thinning.
An image-based model reconstruction system is described in this paper where real images of a rigi... more An image-based model reconstruction system is described in this paper where real images of a rigid object acquired under a simple but controlled environment are used to recover its three dimensional geometry and its surface texture. Based on a multi-image calibration method, an algorithm to extract the rotation axis of a turn-table has been developed. Furthermore, this algorithm can be extended to estimate robustly the initial bounding volume of the object to be modeled. The coarse volume obtained is then carved using a stereo correction method which removes the disadvantages of silhouette-based reconstruction by photoconsistency. The concept of surface particles is adapted in order to extract a texture map for the model. Some existing metrics are used to measure the quality of the reconstructed models.
This paper describes a new framework, called repulsive attractive (RA) network for baseline extra... more This paper describes a new framework, called repulsive attractive (RA) network for baseline extraction on document images. The RA network is an energy minimizing dynamical system, which interacts with the document text image through the attractive and repulsive forces de"ned over the network components and the document image. Experimental results indicate that the network can successfully extract the baselines under heavy noise and overlaps between the ascending and descending portions of the characters of adjacent lines. The proposed framework is applicable to a wide range of image processing applications, such as curve "tting, segmentation and thinning.
This paper describes a new framework, called repulsive attractive (RA) network for baseline extra... more This paper describes a new framework, called repulsive attractive (RA) network for baseline extraction on document images. The RA network is an energy minimizing dynamical system, which interacts with the document text image through the attractive and repulsive forces de"ned over the network components and the document image. Experimental results indicate that the network can successfully extract the baselines under heavy noise and overlaps between the ascending and descending portions of the characters of adjacent lines. The proposed framework is applicable to a wide range of image processing applications, such as curve "tting, segmentation and thinning.
An image based model reconstruction system is described. Real images of a rigid object acquired u... more An image based model reconstruction system is described. Real images of a rigid object acquired under a simple but controlled environment are used to recover the three dimensional geometry and the surface appearance. Based on a multi-image calibration method, an algorithm to extract the rotation axis of a turn-table has been developed. Furthermore, this can be extended to estimate robustly the initial bounding volume of the object to be modeled. The coarse volume obtained, is then carved using a stereo correction method which removes the disadvantages of silhouette based reconstruction by photoconsistency. The concept of surface particles is adapted in order to extract a texture map for the model. Some metrics are defined to measure the quality of the reconstructed models.
IEEE Transactions on Systems, Man, and Cybernetics, 2003
The goal of this study is to investigate the reconstruction of 3D graphical models of real object... more The goal of this study is to investigate the reconstruction of 3D graphical models of real objects in a controlled imaging environment and present the work done in our group based on silhouette-based reconstruction. Although many parts of the whole system have been well-known in the literature and in practice, the main contribution of the paper is that it describes a complete, end-to-end system explained in detail. Based on a multi-image calibration method, an algorithm to extract the rotation axis of a turn-table has been developed. Furthermore, this can be extended to estimate robustly the initial bounding volume of the object to be modeled. The disadvantages of the silhouette-based reconstruction can be removed by an algorithm using photoconsistency. This algorithm has a simpler visibility check, and it eliminates the selection of threshold existing in similar algorithms. Besides, in order to construct the appearance, we use the concept of particles. The reconstruction results are shown both on real world and synthetic objects.
The goal of this study is to investigate the reconstruction of 3D graphical models of real object... more The goal of this study is to investigate the reconstruction of 3D graphical models of real objects in a controlled imaging environment and present the work done in our group based on silhouette-based reconstruction. Although many parts of the whole system have been well-known in the literature and in practice, the main contribution of the paper is that it describes a complete, end-to-end system explained in detail. Based on a multi-image calibration method, an algorithm to extract the rotation axis of a turn-table has been developed. Furthermore, this can be extended to estimate robustly the initial bounding volume of the object to be modeled. The disadvantages of the silhouette-based reconstruction can be removed by an algorithm using photoconsistency. This algorithm has a simpler visibility check, and it eliminates the selection of threshold existing in similar algorithms. Besides, in order to construct the appearance, we use the concept of particles. The reconstruction results are shown both on real world and synthetic objects.
This paper describes a new framework, called repulsive attractive (RA) network for baseline extra... more This paper describes a new framework, called repulsive attractive (RA) network for baseline extraction on document images. The RA network is an energy minimizing dynamical system, which interacts with the document text image through the attractive and repulsive forces de"ned over the network components and the document image. Experimental results indicate that the network can successfully extract the baselines under heavy noise and overlaps between the ascending and descending portions of the characters of adjacent lines. The proposed framework is applicable to a wide range of image processing applications, such as curve "tting, segmentation and thinning.
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Papers by Adem Mülayim