Browsing by Author "Lin, Xiao"

Now showing items 1-12 of 12

    • 3D point cloud segmentation using a fully connected conditional random field 

      Lin, Xiao; Casas Pla, Josep Ramon; Pardàs Feliu, Montse (Institute of Electrical and Electronics Engineers (IEEE), 2017)
      Conference lecture
      Restricted access - publisher's policy
      Traditional image segmentation methods working with low level image features are usually difficult to adapt to higher level tasks, such as object recognition and scene understanding. Object segmentation emerges as a new ...

    • 3D point cloud video segmentation based on interaction analysis 

      Lin, Xiao; Casas Pla, Josep Ramon; Pardàs Feliu, Montse (Springer, 2016)
      Conference lecture
      Open Access
      Given the widespread availability of point cloud data from consumer depth sensors, 3D segmentation becomes a promising building block for high level applications such as scene understanding and interaction analysis. It ...

    • 3D point cloud video segmentation based on interaction analysis 

      Lin, Xiao; Casas Pla, Josep Ramon; Pardàs Feliu, Montse (Springer, 2016-11-24)
      Part of book or chapter of book
      Open Access
      Given the widespread availability of point cloud data from consumer depth sensors, 3D segmentation becomes a promising building block for high level applications such as scene understanding and interaction analysis. It ...

    • 3D point cloud video segmentation oriented to the analysis of interactions 

      Lin, Xiao; Casas Pla, Josep Ramon; Pardàs Feliu, Montse (Institute of Electrical and Electronics Engineers (IEEE), 2016)
      Conference lecture
      Open Access
      Given the widespread availability of point cloud data from consumer depth sensors, 3D point cloud segmentation becomes a promising building block for high level applications such as scene understanding and interaction ...

    • A closed-loop approach for tracking a humanoid robot using particle filtering and depth data 

      Martínez González, Pablo Arturo; Lin, Xiao; Castelan, Mario; Casas Pla, Josep Ramon; Arechavaleta, Gustavo (Springer, 2017-05-24)
      Article
      Open Access
      Humanoid robots introduce instabilities during biped march that complicate the process of estimating their position and orientation along time. Tracking humanoid robots may be useful not only in typical applications such ...

    • Depth estimation and semantic segmentation from a single RGB image using a hybrid convolutional neural network 

      Lin, Xiao; Sánchez Escobedo, Dalila; Casas Pla, Josep Ramon; Pardàs Feliu, Montse (Multidisciplinary Digital Publishing Institute (MDPI), 2019-04-15)
      Article
      Open Access
      Semantic segmentation and depth estimation are two important tasks in computer vision, and many methods have been developed to tackle them. Commonly these two tasks are addressed independently, but recently the idea of ...

    • Hybridnet for depth estimation and semantic segmentation 

      Sánchez Escobedo, Dalila; Lin, Xiao; Casas Pla, Josep Ramon; Pardàs Feliu, Montse (Institute of Electrical and Electronics Engineers (IEEE), 2018)
      Conference report
      Open Access
      Semantic segmentation and depth estimation are two important tasks in the area of image processing. Traditionally, these two tasks are addressed in an independent manner. However, for those applications where geometric and ...

    • One shot learning for generic instance segmentation in RGBD videos 

      Lin, Xiao; Casas Pla, Josep Ramon; Pardàs Feliu, Montse (Scitepress, 2019)
      Conference report
      Open Access
      Hand-crafted features employed in classical generic instance segmentation methods have limited discriminative power to distinguish different objects in the scene, while Convolutional Neural Networks (CNNs) based semantic ...

    • Semantic and generic object segmentation for scene analysis using RGB-D Data 

      Lin, Xiao (Universitat Politècnica de Catalunya, 2018-07-20)
      Doctoral thesis
      Open Access
      In this thesis, we study RGB-D based segmentation problems from different perspectives in terms of the input data. Apart from the basic photometric and geometric information contained in the RGB-D data, also semantic and ...

    • Temporally coherent 3D point cloud video segmentation in generic scenes 

      Lin, Xiao; Casas Pla, Josep Ramon; Pardàs Feliu, Montse (2018-03-02)
      Article
      Open Access
      Video segmentation is an important building block for high level applications, such as scene understanding and interaction analysis. While outstanding results are achieved in this field by the state-of-the-art learning and ...

    • Time consistent estimation of End-effectors from RGB-D data 

      Lin, Xiao; Casas Pla, Josep Ramon; Pardàs Feliu, Montse (Springer, 2015)
      Conference lecture
      Restricted access - publisher's policy
      End-effectors are usually related to the location of the free end of a kinematic chain. Each of them contains rich structure information about the entity. Hence, estimating stable end-effectors of different entities enables ...

    • Time-consistent estimation of end-effectors from RGB-D data 

      Lin, Xiao; Pardàs Feliu, Montse; Casas Pla, Josep Ramon (Springer, 2016-02-04)
      Part of book or chapter of book
      Open Access
      End-effectors are usually related to the location of the free end of a kinematic chain. Each of them contains rich structure information about the entity. Hence, estimating stable end-effectors of different ...