Seam carving for stereo images

Utsugi, Kei; Shibahara, Takuma; Koike, Takafumi; Takahashi, Keita; Naemura, Takeshi

doi:10.1109/3dtv.2010.5506316

Cited by 40 publications

(25 citation statements)

References 9 publications

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“…The most similar work to ours is that of Utsugi et al [9]. They extended seam-carving [3] to stereo images by adding/removing corresponding seams on both images simultaneously.…”

Section: Introductionmentioning

confidence: 81%

“…This result proves the effectiveness of our stereo correspondence constraint. (e) shows the result of stereo seam carving [9], in which stereo correspondences are also cared in a different manner. However, due to the nature of seam carving, visible distortions (i.e.…”

Section: Methodsmentioning

confidence: 99%

“…Let D LR (p L ) be the left-to-right horizontal disparity of Fig. 2 Retargeting of "Tsukuba" [13]: (a) original stereo image pair and disparity map, (b) linear scaling, (c) shift-map editing without stereo correspondence constraint, (d) our method, and (e) stereo seam carving [9]. Disparity maps are obtained from resulting images by stereo matching.…”

Section: Stereo Correspondence Constraintmentioning

confidence: 99%

See 2 more Smart Citations

Stereo Image Retargeting with Shift-Map

Nakashima

Utsugi

Takahashi

et al. 2011

IEICE Trans. Inf. & Syst.

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SUMMARYWe propose a new stereo image retargeting method based on the framework of shift-map image editing. Retargeting is the process of changing the image size according to the target display while preserving as much of the richness of the image as possible, and is often applied to monocular images and videos. Retargeting stereo images poses a new challenge because pixel correspondences between the stereo pair should be preserved to keep the scene's structure. The main contribution of this paper is integrating a stereo correspondence constraint into the retargeting process. Among several retargeting methods, we adopt shift-map image editing because this framework can be extended naturally to stereo images, as we show in this paper. We confirmed the effectiveness of our method through experiments. key words: stereo image editing, image retargeting, shift-map image editing

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“…The most similar work to ours is that of Utsugi et al [9]. They extended seam-carving [3] to stereo images by adding/removing corresponding seams on both images simultaneously.…”

Section: Introductionmentioning

confidence: 81%

Section: Methodsmentioning

confidence: 99%

Section: Stereo Correspondence Constraintmentioning

confidence: 99%

See 1 more Smart Citation

Stereo Image Retargeting with Shift-Map

Nakashima

Utsugi

Takahashi

et al. 2011

IEICE Trans. Inf. & Syst.

Self Cite

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show abstract

“…In [3], stereo matching results are fused into a framework in the seam carving to preserve the consistency between the left and right images. Both image retargeting and depth adjustment algorithms were discussed.…”

Section: Introductionmentioning

confidence: 99%

Improved seam carving for stereo image resizing

Yue

Hou

Zhou

2013

J Wireless Com Network

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When stereo images are shown in three-dimensional (3D) display devices of different aspect ratios, the resizing algorithm for single image could lead to shape and depth distortion of the stereo image's main content. This paper aims to propose a novel method for retargeting stereo image pairs without distorting important objects in the scene while still maintaining the consistency between the left and right images. We extended seam carving algorithm to stereo images. The novelty of our method is that important objects are determined by jointly considering the intensities of gradients and visual fusion area. The retargeted stereo pair has a feasible 3D interpretation that is similar to the original one. Our method protected the important content and reduced the visual distortion in each of the images as well as the depth distortion. Experimental results are presented to demonstrate that the proposed method effectively guaranteed the geometric consistency of resized stereo images.

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“…The retargeting methods are classified into discrete and continuous based on the categorization suggested in [6]. In the discrete methods, a stereoscopic image is resized by cropping [11] or seam carving [12], [13]. Niu et al [11] propose an aesthetics-based cropping method in which an input image pair is optimally cropped and then rescaled such that the aesthetic value defined according to the principles of stereoscopic photography is maximized.…”

Section: Related Workmentioning

confidence: 99%

Object-Coherence Warping for Stereoscopic Image Retargeting

Lin

Chang

et al. 2014

IEEE Trans. Circuits Syst. Video Technol.

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Abstract-This paper addresses the topic of content-aware stereoscopic image retargeting. The key to this topic is consistently adapting a stereoscopic image to fit displays with various aspect ratios and sizes while preserving visually salient content. Most methods focus on preserving the disparities and shapes of visually salient objects through nonlinear image warping, in which distortions caused by warping are propagated to homogenous and low-significance regions. However, disregarding the consistency of object deformation sometimes results in apparent distortions in both the disparities and shapes of objects. An object-coherence warping scheme is proposed to reduce this unwanted distortion. The basic idea is to utilize the information of matched objects rather than that of matched pixels in warping. Such information implies object correspondences in a stereoscopic image pair, which allows the generation of an object significance map and the consistent preservation of objects. This strategy enables our method to consistently preserve both the disparities and shapes of visually salient objects, leading to good content-aware retargeting. In the experiments, qualitative and quantitative analyses of various stereoscopic images show that our results are better than those generated by related methods in terms of consistency of object preservation.

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Seam carving for stereo images

Cited by 40 publications

References 9 publications

Stereo Image Retargeting with Shift-Map

Stereo Image Retargeting with Shift-Map

Improved seam carving for stereo image resizing

Object-Coherence Warping for Stereoscopic Image Retargeting

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