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Kwon J.,ETH Zurich | Roh J.,Imaging Media Research Center | Lee K.M.,Seoul National University | Van Gool L.,ETH Zurich
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2014

A novel tracking algorithm that can track a highly non-rigid target robustly is proposed using a new bounding box representation called the Double Bounding Box (DBB). In the DBB, a target is described by the combination of the Inner Bounding Box (IBB) and the Outer Bounding Box (OBB). Then our objective of visual tracking is changed to find the IBB and OBB instead of a single bounding box, where the IBB and OBB can be easily obtained by the Dempster-Shafer (DS) theory. If the target is highly non-rigid, any single bounding box cannot include all foreground regions while excluding all background regions. Using the DBB, our method does not directly handle the ambiguous regions, which include both the foreground and background regions. Hence, it can solve the inherent ambiguity of the single bounding box representation and thus can track highly non-rigid targets robustly. Our method finally finds the best state of the target using a new Constrained Markov Chain Monte Carlo (CMCMC)-based sampling method with the constraint that the OBB should include the IBB. Experimental results show that our method tracks non-rigid targets accurately and robustly, and outperforms state-of-the-art methods. © 2014 Springer International Publishing.

Lee K.-H.,Konkuk University | Lee K.-H.,Imaging Media Research Center | Kim S.-K.,Konkuk University
SID Conference Record of the International Display Research Conference | Year: 2010

In this paper, we focused on an active depth sense control by the switchable stereo camera alignments to solve the problems such as a lacked space in composing stereo cameras and a restricted depth sense expression at mobile stereoscopy. It is compared to the existing as a passive method which has been controlling a disparity of an object by an image processing. A diverging type of stereo camera alignment makes a zoomed-in perceived stereo depth sense, a converging type makes zoomed out respectively. The validation of the active method is verified by both a theory and an experiment.

Lee K.-H.,Konkuk University | Lee K.-H.,Imaging Media Research Center | Kim S.-K.,Imaging Media Research Center
Proceedings of SPIE - The International Society for Optical Engineering | Year: 2011

The mobile device has the lacked space for configuring cameras to make either ortho-or hyperstereoscopic condition with a small size of display. therefore mobile stereoscopy cannot provide a presence with a good depth sense to an observer. to solve this problem, we focused on the depth sense control method with a switchable stereo camera alignment. In converging type, the fusible stereo area becomes wider compared to a parallel type when the same focal length was used in both types. This matter makes it that the stereo fusible area formed by converging type to be equal to the parallel type with a more shorten focal length. Therefore there is a kind of the zoom-out effect at the reconstructed depth sense. In diverging type, the fusible stereo area becomes narrower than the parallel. As the same way, the diverging type guarantees a similar characteristic of that an increased focal length is considered in parallel type. Therefore there is a zoom-in effect existing. Stereoscopic zoom-in depth effect becomes rapidly changed by the increased angle but zoom-out becomes retarded relatively.

Lee K.-H.,Konkuk University | Lee K.-H.,Imaging Media Research Center | Kim D.-W.,Imaging Media Research Center | Um G.-M.,Broadcasting and Telecommunications Convergence Research Laboratory | And 4 more authors.
Proceedings of SPIE - The International Society for Optical Engineering | Year: 2011

In this paper, we suggested a new way to overcome a shortcoming as stereoscopic depth distortion in common stereoscopy based on computer graphics (CG). In terms of the way, let the objective space transform as the distorted space to make a correct perceived depth sense as if we are seeing the scaled object volume which is well adjusted to user's stereoscopic circumstance. All parameters which related the distortion such as a focal length, an inter-camera distance, an inner angle between camera's axes, a size of display, a viewing distance and an eye distance can be altered to the amount of inversed distortion in the transformed objective space by the linear relationship between the reconstructed image space and the objective space. Actually, the depth distortion is removed after image reconstruction process with a distorted objective space. We prepared a stereo image having a right scaled depth from-200mm to +200mm with an interval as 100mm by the display plane in an official stereoscopic circumstance and showed it to 5 subjects. All subjects recognized and indicated the designed depths.

Lee K.-H.,Konkuk University | Lee K.-H.,Imaging Media Research Center | Kim S.-K.,Imaging Media Research Center
Proceedings of SPIE - The International Society for Optical Engineering | Year: 2011

In this paper, we suggested a way constructing an objective space transformation as the distorted objective space to make a perceived scaled depth sense as the nature depth for an actual image circumstance. In there, a hybrid camera system is adopted as a tool of multi-views actual images acquisition. There is consisted of two camera system, one is a depth camera which used to take an actual object's depth information and the other is a common camera which is used to map color information to the depth image. In previous work, we already showed the possibility of the concept that a transformed an object space for taking a natural depth sense based on CG object space is good approach. For improving the work, we show an advanced approach that the multi-views of the right scaled object depth senses without a depth distortion based on an actual image by any size of display adaptation can also perceived. Both systematic and observational stereoscopic constraints are already considered to the distorted object space to make a scaled depth image in the reconstructed image space. © 2011 SPIE.

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