The Experts below are selected from a list of 35481 Experts worldwide ranked by ideXlab platform
Gang Dong - One of the best experts on this subject based on the ideXlab platform.
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structure of the tbbilbo1 protein n terminal domain from trypanosoma brucei reveals an essential requirement for a conserved Surface Patch
Journal of Biological Chemistry, 2014Co-Authors: Keni Vidilaseris, Brooke Morriswood, Georg Kontaxis, Gang DongAbstract:Abstract TbBILBO1 is the only known component of the flagellar pocket collar, an essential cytoskeletal barrier element found in trypanosomes. The N-terminal domain (NTD) of TbBILBO1 was found to be dispensable for targeting of the protein in vivo. However, overexpression of constructs lacking the NTD caused complete growth inhibition, implying an essential requirement for this domain. A high-resolution structure of the NTD of TbBILBO1 showed that it forms a ubiquitin-like fold with a conserved Surface Patch. Mutagenesis of this Patch recapitulated the phenotypic effects of deleting the entire domain, and was found to cause cell death. The Surface Patch on the NTD of TbBILBO1 is therefore a potential drug target.
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structure of the tbbilbo1 protein n terminal domain from trypanosoma brucei reveals an essential requirement for a conserved Surface Patch
Journal of Biological Chemistry, 2014Co-Authors: Keni Vidilaseris, Brooke Morriswood, Georg Kontaxis, Gang DongAbstract:TbBILBO1 is the only known component of the flagellar pocket collar, a cytoskeletal barrier element found in trypanosomes. The N-terminal domain (NTD) of TbBILBO1 was found to be dispensable for targeting of the protein in vivo. However, overexpression of constructs lacking the NTD caused complete growth inhibition, implying an essential requirement for this domain. A high resolution structure of the NTD of TbBILBO1 showed that it forms a ubiquitin-like fold with a conserved Surface Patch. Mutagenesis of this Patch recapitulated the phenotypic effects of deleting the entire domain and was found to cause cell death. The Surface Patch on the NTD of TbBILBO1 is therefore a potential drug target.
Michael Jones - One of the best experts on this subject based on the ideXlab platform.
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real time 3d head pose and facial landmark estimation from depth images using triangular Surface Patch features
Computer Vision and Pattern Recognition, 2015Co-Authors: Chavdar Papazov, Tim K Marks, Michael JonesAbstract:We present a real-time system for 3D head pose estimation and facial landmark localization using a commodity depth sensor. We introduce a novel triangular Surface Patch (TSP) descriptor, which encodes the shape of the 3D Surface of the face within a triangular area. The proposed descriptor is viewpoint invariant, and it is robust to noise and to variations in the data resolution. Using a fast nearest neighbor lookup, TSP descriptors from an input depth map are matched to the most similar ones that were computed from synthetic head models in a training phase. The matched triangular Surface Patches in the training set are used to compute estimates of the 3D head pose and facial landmark positions in the input depth map. By sampling many TSP descriptors, many votes for pose and landmark positions are generated which together yield robust final estimates. We evaluate our approach on the publicly available Biwi Kinect Head Pose Database to compare it against state-of-the-art methods. Our results show a significant improvement in the accuracy of both pose and landmark location estimates while maintaining real-time speed.
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CVPR - Real-time 3D head pose and facial landmark estimation from depth images using triangular Surface Patch features
2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015Co-Authors: Chavdar Papazov, Tim K Marks, Michael JonesAbstract:We present a real-time system for 3D head pose estimation and facial landmark localization using a commodity depth sensor. We introduce a novel triangular Surface Patch (TSP) descriptor, which encodes the shape of the 3D Surface of the face within a triangular area. The proposed descriptor is viewpoint invariant, and it is robust to noise and to variations in the data resolution. Using a fast nearest neighbor lookup, TSP descriptors from an input depth map are matched to the most similar ones that were computed from synthetic head models in a training phase. The matched triangular Surface Patches in the training set are used to compute estimates of the 3D head pose and facial landmark positions in the input depth map. By sampling many TSP descriptors, many votes for pose and landmark positions are generated which together yield robust final estimates. We evaluate our approach on the publicly available Biwi Kinect Head Pose Database to compare it against state-of-the-art methods. Our results show a significant improvement in the accuracy of both pose and landmark location estimates while maintaining real-time speed.
Keni Vidilaseris - One of the best experts on this subject based on the ideXlab platform.
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structure of the tbbilbo1 protein n terminal domain from trypanosoma brucei reveals an essential requirement for a conserved Surface Patch
Journal of Biological Chemistry, 2014Co-Authors: Keni Vidilaseris, Brooke Morriswood, Georg Kontaxis, Gang DongAbstract:Abstract TbBILBO1 is the only known component of the flagellar pocket collar, an essential cytoskeletal barrier element found in trypanosomes. The N-terminal domain (NTD) of TbBILBO1 was found to be dispensable for targeting of the protein in vivo. However, overexpression of constructs lacking the NTD caused complete growth inhibition, implying an essential requirement for this domain. A high-resolution structure of the NTD of TbBILBO1 showed that it forms a ubiquitin-like fold with a conserved Surface Patch. Mutagenesis of this Patch recapitulated the phenotypic effects of deleting the entire domain, and was found to cause cell death. The Surface Patch on the NTD of TbBILBO1 is therefore a potential drug target.
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structure of the tbbilbo1 protein n terminal domain from trypanosoma brucei reveals an essential requirement for a conserved Surface Patch
Journal of Biological Chemistry, 2014Co-Authors: Keni Vidilaseris, Brooke Morriswood, Georg Kontaxis, Gang DongAbstract:TbBILBO1 is the only known component of the flagellar pocket collar, a cytoskeletal barrier element found in trypanosomes. The N-terminal domain (NTD) of TbBILBO1 was found to be dispensable for targeting of the protein in vivo. However, overexpression of constructs lacking the NTD caused complete growth inhibition, implying an essential requirement for this domain. A high resolution structure of the NTD of TbBILBO1 showed that it forms a ubiquitin-like fold with a conserved Surface Patch. Mutagenesis of this Patch recapitulated the phenotypic effects of deleting the entire domain and was found to cause cell death. The Surface Patch on the NTD of TbBILBO1 is therefore a potential drug target.
Chavdar Papazov - One of the best experts on this subject based on the ideXlab platform.
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real time 3d head pose and facial landmark estimation from depth images using triangular Surface Patch features
Computer Vision and Pattern Recognition, 2015Co-Authors: Chavdar Papazov, Tim K Marks, Michael JonesAbstract:We present a real-time system for 3D head pose estimation and facial landmark localization using a commodity depth sensor. We introduce a novel triangular Surface Patch (TSP) descriptor, which encodes the shape of the 3D Surface of the face within a triangular area. The proposed descriptor is viewpoint invariant, and it is robust to noise and to variations in the data resolution. Using a fast nearest neighbor lookup, TSP descriptors from an input depth map are matched to the most similar ones that were computed from synthetic head models in a training phase. The matched triangular Surface Patches in the training set are used to compute estimates of the 3D head pose and facial landmark positions in the input depth map. By sampling many TSP descriptors, many votes for pose and landmark positions are generated which together yield robust final estimates. We evaluate our approach on the publicly available Biwi Kinect Head Pose Database to compare it against state-of-the-art methods. Our results show a significant improvement in the accuracy of both pose and landmark location estimates while maintaining real-time speed.
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CVPR - Real-time 3D head pose and facial landmark estimation from depth images using triangular Surface Patch features
2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015Co-Authors: Chavdar Papazov, Tim K Marks, Michael JonesAbstract:We present a real-time system for 3D head pose estimation and facial landmark localization using a commodity depth sensor. We introduce a novel triangular Surface Patch (TSP) descriptor, which encodes the shape of the 3D Surface of the face within a triangular area. The proposed descriptor is viewpoint invariant, and it is robust to noise and to variations in the data resolution. Using a fast nearest neighbor lookup, TSP descriptors from an input depth map are matched to the most similar ones that were computed from synthetic head models in a training phase. The matched triangular Surface Patches in the training set are used to compute estimates of the 3D head pose and facial landmark positions in the input depth map. By sampling many TSP descriptors, many votes for pose and landmark positions are generated which together yield robust final estimates. We evaluate our approach on the publicly available Biwi Kinect Head Pose Database to compare it against state-of-the-art methods. Our results show a significant improvement in the accuracy of both pose and landmark location estimates while maintaining real-time speed.
Jiang Tian - One of the best experts on this subject based on the ideXlab platform.
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Surface Patch reconstruction from one dimensional tactile data
IEEE Transactions on Automation Science and Engineering, 2010Co-Authors: Yanbin Jia, Jiang TianAbstract:This paper studies the reconstruction of unknown curved Surfaces through finger tracking. A Patch can be generated from tactile data points along three concurrent Surface curves under the Darboux frame estimated at the curve intersection point. Surface fitting while minimizing the total (absolute) Gaussian curvature effectively prevents unnecessary folds otherwise expected to result from the use of such "1-D" data. The implementation involves a two-axis joystick sensor, a three-fingered 4-DOF BarrettHand, and a 4-DOF Adept SCARA robot. Experiments have demonstrated good accuracy of reconstruction.
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Surface Patch reconstruction via curve sampling
International Conference on Robotics and Automation, 2006Co-Authors: Yanbin Jia, Jiang TianAbstract:This paper introduces a method that reconstructs a Surface Patch by sampling along three concurrent curves on the Surface with a touch sensor. These data curves, each lying in a different plane, form a "skeleton" from which the Patch is built in two phases. First, the Darboux frame at the curve intersection is estimated to reflect the local geometry. Second, polynomial fitting is carried out in the Darboux frame. The use of total (absolute) Gaussian curvature effectively prevents unnecessary folding of the Surface normally expected to result from fitting over one-dimensional data. The reconstructed Patch attains remarkable accuracy as demonstrated through experiments. This work carries a promise for in-hand manipulation. It also has potential application in building accurate models for complex curved objects which can cause occlusion to a camera or a range sensor
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Surface Patch reconstruction by touching
1Co-Authors: Jiang TianAbstract:This thesis studies the reconstruction of unknown curved Surfaces in 3D through contour tracking. The implementation involves a 2-axis joystick sensor and a 4-DOF Adept robot. The joystick’s force sensing is combined with the Adept’s high positional accuracy to yield precise contact measurements. A Surface Patch in 3D can be rebuilt by tracking along three concurrent curves on the Surface. These data curves lie in different planes and are acquired via planar contour tracking. The Darboux frame at the curve intersection is first estimated to reflect the local geometry. Then polynomial fitting is carried out in this frame. Minimization of the total (absolute) Gaussian curvature of the Surface fit effectively prevents unnecessary folding otherwise expected to result from the use of touching data. Experiments have demonstrated high accuracy of reconstruction.
