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Eun-soo Kim - One of the best experts on this subject based on the ideXlab platform.

  • A new rectification scheme for uncalibrated stereo image pairs and its application to intermediate view reconstruction
    Journal of Information Display, 2005
    Co-Authors: Yong‐woo Jung, Eun-soo Kim
    Abstract:

    Abstract In this paper, a new rectification scheme to transform the uncalibrated stereo image pair into the calibrated one is suggested and its performance is analyzed by applying this scheme to the reconstruction of the intermediate views for multiview stereoscopic display. In the proposed method, feature points are extracted from the stereo image pair by detecting the corners and similarities between each pixel of the stereo image pair. These detected feature points, are then used to extract moving vectors between the stereo image pair and the Epipolar Line. Finally, the input stereo image pair is rectified by matching the extracted Epipolar Line between the stereo image pair in the horizontal direction. Based on some experiments done on the synthesis of the intermediate views by using the calibrated stereo image pairs through the proposed rectification algorithm and the uncalibrated ones for three kinds of stereo image pairs; ‘Man’, ‘Face’ and ‘Car’, it is found that PSNRs of the intermediate views rec...

  • A new rectification scheme for uncalibrated stereo image pairs and its application to intermediate view reconstruction
    Optical Information Systems II, 2004
    Co-Authors: Chang-ju Park, Eun-soo Kim
    Abstract:

    In this paper, a new rectification scheme to transform the uncalibrated stereo image pair into the calibrated one is suggested and its performance is analyzed by applying this scheme to reconstruction of the intermediate views for multi-view stereoscopic display. In the proposed method, feature points are extracted from the stereo image pair through detection of the corners and similarities between each pixel of the stereo image pair. And then, using these detected feature points, moving vectors between the stereo image pair and the Epipolar Line is extracted. Finally, the input stereo image pair is rectified by matching the extracted Epipolar Line between the stereo image pair in the horizontal direction. From some experiments on synthesizing the intermediate views by using the calibrated stereo image pairs through the proposed rectification algorithm and the uncalibrated ones for three kinds of stereo image pairs; 'Man', 'Face' and 'Car', it is analyzed that PSNRs of the intermediate views reconstructed from the calibrated images are improved about 2.5 ~ 3.26 dB than those of the uncalibrated ones.

Han Jian-da - One of the best experts on this subject based on the ideXlab platform.

  • Dynamic Stereo Matching Algorithm Based on Epipolar Line Segment
    Computer Engineering, 2008
    Co-Authors: Peng Jun-jian, Geng Yan-feng, Han Jian-da
    Abstract:

    In region-based stereo matching algorithm,the ambiguity parts,which can not be optimized by WTA,normally are considered as error matches and are discarded.This paper presents a novel approach based on Epipolar Line segment.It adopts 1-D region as match unit and introduces occlusion and smooth terms to construct a new match cost function,density disparity map can be obtained in virtue of static and dynamic matching strategy.Experimental results validate the algorithm to textureless regions and real-time.

Yong‐woo Jung - One of the best experts on this subject based on the ideXlab platform.

  • A new rectification scheme for uncalibrated stereo image pairs and its application to intermediate view reconstruction
    Journal of Information Display, 2005
    Co-Authors: Yong‐woo Jung, Eun-soo Kim
    Abstract:

    Abstract In this paper, a new rectification scheme to transform the uncalibrated stereo image pair into the calibrated one is suggested and its performance is analyzed by applying this scheme to the reconstruction of the intermediate views for multiview stereoscopic display. In the proposed method, feature points are extracted from the stereo image pair by detecting the corners and similarities between each pixel of the stereo image pair. These detected feature points, are then used to extract moving vectors between the stereo image pair and the Epipolar Line. Finally, the input stereo image pair is rectified by matching the extracted Epipolar Line between the stereo image pair in the horizontal direction. Based on some experiments done on the synthesis of the intermediate views by using the calibrated stereo image pairs through the proposed rectification algorithm and the uncalibrated ones for three kinds of stereo image pairs; ‘Man’, ‘Face’ and ‘Car’, it is found that PSNRs of the intermediate views rec...

Michael Werman - One of the best experts on this subject based on the ideXlab platform.

  • WACV - An Epipolar Line from a Single Pixel
    2018 IEEE Winter Conference on Applications of Computer Vision (WACV), 2018
    Co-Authors: Tavi Halperin, Michael Werman
    Abstract:

    Computing the Epipolar geometry from feature points between cameras with very different viewpoints is often error prone, as an object's appearance can vary greatly between images. For such cases, it has been shown that using motion extracted from video can achieve much better results than using a static image. This paper extends these earlier works based on the scene dynamics. In this paper we propose a new method to compute the Epipolar geometry from a video stream, by exploiting the following observation: For a pixel p in Image A, all pixels corresponding to p in Image B are on the same Epipolar Line. Equivalently, the image of the Line going through camera A's center and p is an Epipolar Line in B. Therefore, when cameras A and B are synchronized, the momentary images of two objects projecting to the same pixel, p, in camera A at times t1 and t2, lie on an Epipolar Line in camera B. Based on this observation we achieve fast and precise computation of Epipolar Lines. Calibrating cameras based on our method of finding Epipolar Lines is much faster and more robust than previous methods.

  • An Epipolar Line from a Single Pixel
    arXiv: Computer Vision and Pattern Recognition, 2017
    Co-Authors: Tavi Halperin, Michael Werman
    Abstract:

    Computing the Epipolar geometry from feature points between cameras with very different viewpoints is often error prone, as an object's appearance can vary greatly between images. For such cases, it has been shown that using motion extracted from video can achieve much better results than using a static image. This paper extends these earlier works based on the scene dynamics. In this paper we propose a new method to compute the Epipolar geometry from a video stream, by exploiting the following observation: For a pixel p in Image A, all pixels corresponding to p in Image B are on the same Epipolar Line. Equivalently, the image of the Line going through camera A's center and p is an Epipolar Line in B. Therefore, when cameras A and B are synchronized, the momentary images of two objects projecting to the same pixel, p, in camera A at times t1 and t2, lie on an Epipolar Line in camera B. Based on this observation we achieve fast and precise computation of Epipolar Lines. Calibrating cameras based on our method of finding Epipolar Lines is much faster and more robust than previous methods.

  • Epipolar geometry based on Line similarity
    International Conference on Pattern Recognition, 2016
    Co-Authors: Gil Benartzi, Tavi Halperin, Michael Werman, Shmuel Peleg
    Abstract:

    It is known that Epipolar geometry can be computed from three Epipolar Line correspondences but this computation is rarely used in practice since there are no simple methods to find corresponding Lines. Instead, methods for finding corresponding points are widely used. This paper proposes a similarity measure between Lines that indicates whether two Lines are corresponding Epipolar Lines and enables finding Epipolar Line correspondences as needed for the computation of Epipolar geometry.

  • Epipolar Geometry Based On Line Similarity
    arXiv: Computer Vision and Pattern Recognition, 2016
    Co-Authors: Gil Ben-artzi, Tavi Halperin, Michael Werman, Shmuel Peleg
    Abstract:

    It is known that Epipolar geometry can be computed from three Epipolar Line correspondences but this computation is rarely used in practice since there are no simple methods to find corresponding Lines. Instead, methods for finding corresponding points are widely used. This paper proposes a similarity measure between Lines that indicates whether two Lines are corresponding Epipolar Lines and enables finding Epipolar Line correspondences as needed for the computation of Epipolar geometry. A similarity measure between two Lines, suitable for video sequences of a dynamic scene, has been previously described. This paper suggests a stereo matching similarity measure suitable for images. It is based on the quality of stereo matching between the two Lines, as corresponding Epipolar Lines yield a good stereo correspondence. Instead of an exhaustive search over all possible pairs of Lines, the search space is substantially reduced when two corresponding point pairs are given. We validate the proposed method using real-world images and compare it to state-of-the-art methods. We found this method to be more accurate by a factor of five compared to the standard method using seven corresponding points and comparable to the 8-points algorithm.

  • ICPR - Epipolar geometry based on Line similarity
    2016 23rd International Conference on Pattern Recognition (ICPR), 2016
    Co-Authors: Gil Ben-artzi, Tavi Halperin, Michael Werman, Shmuel Peleg
    Abstract:

    It is known that Epipolar geometry can be computed from three Epipolar Line correspondences but this computation is rarely used in practice since there are no simple methods to find corresponding Lines. Instead, methods for finding corresponding points are widely used. This paper proposes a similarity measure between Lines that indicates whether two Lines are corresponding Epipolar Lines and enables finding Epipolar Line correspondences as needed for the computation of Epipolar geometry.

Peng Jun-jian - One of the best experts on this subject based on the ideXlab platform.

  • Dynamic Stereo Matching Algorithm Based on Epipolar Line Segment
    Computer Engineering, 2008
    Co-Authors: Peng Jun-jian, Geng Yan-feng, Han Jian-da
    Abstract:

    In region-based stereo matching algorithm,the ambiguity parts,which can not be optimized by WTA,normally are considered as error matches and are discarded.This paper presents a novel approach based on Epipolar Line segment.It adopts 1-D region as match unit and introduces occlusion and smooth terms to construct a new match cost function,density disparity map can be obtained in virtue of static and dynamic matching strategy.Experimental results validate the algorithm to textureless regions and real-time.