Depth preserving warping for stereo image retargeting

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Engineering

Logic Mind Technologies
Vijayangar (Near Maruthi Medicals), Bangalore-40
Ph: 8123668124 // 8123668066
Title: Depth-Preserving Warping for Stereo Image
Retargeting
Abstract—The popularity of stereo images and various display devices poses the
need of stereo image retargeting techniques. Existing warping-based retargeting
methods can well preserve the shape of salient objects in a retargeted stereo image
pair. Nevertheless, these methods often incur depth distortion, sincethey attempt to
preserve depth by maintaining the disparity of a set of sparse correspondences,
rather than directly controlling the warping. In this paper, by considering how to
directly control the warping functions, we propose a warping-based stereo image
retargeting approach that can simultaneously preserve the shape of salient objects
and the depth of 3D scenes. We first characterize the depth distortion in terms of
warping functions to investigate the impact of a warping function on depth
distortion. Based on the depth distortion model, we then exploit binocular visual
characteristics of stereo images to derive region-based depth-preserving constraints
which directly control the warping functions so as to faithfully preserve the depth
of 3D scenes. Third, with the region-based depth-preserving constraints, we
present a novel warping-based stereo image retargeting framework. Since the
depth-preserving constraints are derived regardless of shape preservation, we relax
the depth-preserving constraints to fulfill a tradeoff between shape preservation
and depth preservation. Finally, we propose a quad-based implementation of the
proposed framework. The results demonstrate the efficacy of our method in both
depth and shape preservation for stereo image retargeting.

Software & Hardware requirement:
1. Hardware requirement:
1. PC
2. RAM minimum 2GB
3. HDD minimum 100GB
2. Software requirement:
1. MATLAB 7.0
2. Signal processing toolbox
3. Image processing toolbox
4. Mathematical toolbox
PROJECT FLOW:
First Review:
Literature Survey
Paper Explanation
Design of Project
Project Enhancement explanation
Second Review:
Implementing 40% of Base Paper
Third Review
Implementing Remaining 60% of Base Paper with Future Enhancement
(Modification)
For More Details please contact
Logic Mind Technologies
Vijayangar (Near Maruthi Medicals), Bangalore-40
Ph: 8123668124 // 8123668066
Mail: logicmindtech@gmail.com

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Depth preserving warping for stereo image retargeting

1. Logic Mind Technologies Vijayangar (Near Maruthi Medicals), Bangalore-40 Ph: 8123668124 // 8123668066 Title: Depth-Preserving Warping for Stereo Image Retargeting Abstract—The popularity of stereo images and various display devices poses the need of stereo image retargeting techniques. Existing warping-based retargeting methods can well preserve the shape of salient objects in a retargeted stereo image pair. Nevertheless, these methods often incur depth distortion, sincethey attempt to preserve depth by maintaining the disparity of a set of sparse correspondences, rather than directly controlling the warping. In this paper, by considering how to directly control the warping functions, we propose a warping-based stereo image retargeting approach that can simultaneously preserve the shape of salient objects and the depth of 3D scenes. We first characterize the depth distortion in terms of warping functions to investigate the impact of a warping function on depth distortion. Based on the depth distortion model, we then exploit binocular visual characteristics of stereo images to derive region-based depth-preserving constraints which directly control the warping functions so as to faithfully preserve the depth of 3D scenes. Third, with the region-based depth-preserving constraints, we present a novel warping-based stereo image retargeting framework. Since the depth-preserving constraints are derived regardless of shape preservation, we relax the depth-preserving constraints to fulfill a tradeoff between shape preservation and depth preservation. Finally, we propose a quad-based implementation of the proposed framework. The results demonstrate the efficacy of our method in both depth and shape preservation for stereo image retargeting.

2. Software & Hardware requirement: 1. Hardware requirement: 1. PC 2. RAM minimum 2GB 3. HDD minimum 100GB 2. Software requirement: 1. MATLAB 7.0 2. Signal processing toolbox 3. Image processing toolbox 4. Mathematical toolbox PROJECT FLOW: First Review: Literature Survey Paper Explanation Design of Project Project Enhancement explanation Second Review: Implementing 40% of Base Paper Third Review Implementing Remaining 60% of Base Paper with Future Enhancement (Modification) For More Details please contact Logic Mind Technologies Vijayangar (Near Maruthi Medicals), Bangalore-40 Ph: 8123668124 // 8123668066 Mail: logicmindtech@gmail.com

Depth preserving warping for stereo image retargeting

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