The Experts below are selected from a list of 221931 Experts worldwide ranked by ideXlab platform
Yanxi Liu - One of the best experts on this subject based on the ideXlab platform.
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Curved Glide-Reflection Symmetry Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012Co-Authors: Seungkyu Lee, Yanxi LiuAbstract:We generalize the concept of bilateral reflection symmetry to curved glide-reflection symmetry in 2D euclidean space, such that classic reflection symmetry becomes one of its six special cases. We propose a local feature-based approach for curved glide-reflection symmetry detection from real, unsegmented 2D Images. Furthermore, we apply curved glide-reflection axis detection for curved reflection surface detection in 3D Images. Our method discovers, groups, and connects statistically dominant local glide-reflection axes in an Axis-Parameter-Space (APS) without preassumptions on the types of reflection symmetries. Quantitative evaluations and comparisons against state-of-the-art algorithms on a diverse 64-Test-Image set and 1,125 Swedish leaf-data Images show a promising average detection rate of the proposed algorithm at 80 and 40 percent, respectively, and superior performance over existing reflection symmetry detection algorithms. Potential applications in computer vision, particularly biomedical imaging, include saliency detection from unsegmented Images and quantification of deviations from normality. We make our 64-Test-Image set publicly available.
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Curved Glide-Reflection Symmetry Detection,” Transactions on Pattern Analysis and
2012Co-Authors: Seungkyu Lee, Yanxi Liu, Senior MemberAbstract:Abstract—We generalize the concept of bilateral reflection symmetry to curved glide-reflection symmetry in 2D euclidean space, such that classic reflection symmetry becomes one of its six special cases. We propose a local feature-based approach for curved glidereflection symmetry detection from real, unsegmented 2D Images. Furthermore, we apply curved glide-reflection axis detection for curved reflection surface detection in 3D Images. Our method discovers, groups, and connects statistically dominant local glidereflection axes in an Axis-Parameter-Space (APS) without preassumptions on the types of reflection symmetries. Quantitative evaluations and comparisons against state-of-the-art algorithms on a diverse 64-Test-Image set and 1,125 Swedish leaf-data Images show a promising average detection rate of the proposed algorithm at 80 and 40 percent, respectively, and superior performance over existing reflection symmetry detection algorithms. Potential applications in computer vision, particularly biomedical imaging, include saliency detection from unsegmented Images and quantification of deviations from normality. We make our 64-Test-Image set publicly available. Index Terms—Symmetry, glide reflection, curved axis, curved surface. Ç
Seungkyu Lee - One of the best experts on this subject based on the ideXlab platform.
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Curved Glide-Reflection Symmetry Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012Co-Authors: Seungkyu Lee, Yanxi LiuAbstract:We generalize the concept of bilateral reflection symmetry to curved glide-reflection symmetry in 2D euclidean space, such that classic reflection symmetry becomes one of its six special cases. We propose a local feature-based approach for curved glide-reflection symmetry detection from real, unsegmented 2D Images. Furthermore, we apply curved glide-reflection axis detection for curved reflection surface detection in 3D Images. Our method discovers, groups, and connects statistically dominant local glide-reflection axes in an Axis-Parameter-Space (APS) without preassumptions on the types of reflection symmetries. Quantitative evaluations and comparisons against state-of-the-art algorithms on a diverse 64-Test-Image set and 1,125 Swedish leaf-data Images show a promising average detection rate of the proposed algorithm at 80 and 40 percent, respectively, and superior performance over existing reflection symmetry detection algorithms. Potential applications in computer vision, particularly biomedical imaging, include saliency detection from unsegmented Images and quantification of deviations from normality. We make our 64-Test-Image set publicly available.
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Curved Glide-Reflection Symmetry Detection,” Transactions on Pattern Analysis and
2012Co-Authors: Seungkyu Lee, Yanxi Liu, Senior MemberAbstract:Abstract—We generalize the concept of bilateral reflection symmetry to curved glide-reflection symmetry in 2D euclidean space, such that classic reflection symmetry becomes one of its six special cases. We propose a local feature-based approach for curved glidereflection symmetry detection from real, unsegmented 2D Images. Furthermore, we apply curved glide-reflection axis detection for curved reflection surface detection in 3D Images. Our method discovers, groups, and connects statistically dominant local glidereflection axes in an Axis-Parameter-Space (APS) without preassumptions on the types of reflection symmetries. Quantitative evaluations and comparisons against state-of-the-art algorithms on a diverse 64-Test-Image set and 1,125 Swedish leaf-data Images show a promising average detection rate of the proposed algorithm at 80 and 40 percent, respectively, and superior performance over existing reflection symmetry detection algorithms. Potential applications in computer vision, particularly biomedical imaging, include saliency detection from unsegmented Images and quantification of deviations from normality. We make our 64-Test-Image set publicly available. Index Terms—Symmetry, glide reflection, curved axis, curved surface. Ç
R.m. Hodgson - One of the best experts on this subject based on the ideXlab platform.
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the development of a synthetic colour Test Image for subjective and objective quality assessment of digital codecs
Asia-Pacific Conference on Communications, 2005Co-Authors: G A D Punchihewa, Donald G Bailey, R.m. HodgsonAbstract:Subjective and objective quality measures are required for monitoring Image and video systems. Our aim is to develop a static colour Test Image for digital codec and video system evaluation that is analogous to the colour bar signal commonly used in analogue television broadcasting. This approach is capable of highlighting coding colour artefacts, and enables both subjective and objective evaluation. The effectiveness of the developed Test Image is demonstrated using a JPEG codec. Three objective quality metrics are proposed of which two have been linked to the conventional vectorscope used in analogue television systems
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the development of a novel Image quality metric and a synthetic colour Test Image for objective quality assessment of digital codecs
IEEE Region 10 Conference, 2005Co-Authors: Amal Punchihewa, D G Baile, R.m. HodgsonAbstract:This paper proposes a novel Image quality metric for colour codecs and a novel colour Test Image. The degree of colour error (bleeding) due to Image compression is evaluated with a special colour Test Image designed to emphasise colour artefacts. The known reference approach, which is used in this research, offers swift and accurate measurements. The proposed Test Image replaces the full field static colour bar Test signal used in analogue television and video engineering. The proposed Test Image can be used to evaluate the performance of digital video and television broadcasting facilities. The objective quality measure can also be used in the codec development process and in benchmarking codec performance. The efficacy of the new metric and Test Image is assessed using a JPEG codec at a range of compression levels.
David J Parish - One of the best experts on this subject based on the ideXlab platform.
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facial expression recognition in the encrypted domain based on local fisher discriminant analysis
IEEE Transactions on Affective Computing, 2013Co-Authors: Yogachandran Rahulamathavan, Raphael C W Phan, Jonathon A Chambers, David J ParishAbstract:Facial expression recognition forms a critical capability desired by human-interacting systems that aim to be responsive to variations in the human's emotional state. Recent trends toward cloud computing and outsourcing has led to the requirement for facial expression recognition to be performed remotely by potentially untrusted servers. This paper presents a system that addresses the challenge of performing facial expression recognition when the Test Image is in the encrypted domain. More specifically, to the best of our knowledge, this is the first known result that performs facial expression recognition in the encrypted domain. Such a system solves the problem of needing to trust servers since the Test Image for facial expression recognition can remain in encrypted form at all times without needing any decryption, even during the expression recognition process. Our experimental results on popular JAFFE and MUG facial expression databases demonstrate that recognition rate of up to 95.24 percent can be achieved even in the encrypted domain.
G A D Punchihewa - One of the best experts on this subject based on the ideXlab platform.
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the development of a synthetic colour Test Image for subjective and objective quality assessment of digital codecs
Asia-Pacific Conference on Communications, 2005Co-Authors: G A D Punchihewa, Donald G Bailey, R.m. HodgsonAbstract:Subjective and objective quality measures are required for monitoring Image and video systems. Our aim is to develop a static colour Test Image for digital codec and video system evaluation that is analogous to the colour bar signal commonly used in analogue television broadcasting. This approach is capable of highlighting coding colour artefacts, and enables both subjective and objective evaluation. The effectiveness of the developed Test Image is demonstrated using a JPEG codec. Three objective quality metrics are proposed of which two have been linked to the conventional vectorscope used in analogue television systems
