Now showing items 1-4 of 4

    • Indoor Location Retrieval using Shape Matching of KinectFusion Scans to Large-Scale Indoor Point Clouds 

      Al-Nuaimi, Anas; Piccolrovazzi, Martin; Gedikli, Suat; Steinbach, Eckehard; Schroth, Georg (The Eurographics Association, 2015)
      In this paper we show that indoor location retrieval can be posed as a part-in-whole matching problem of Kinect- Fusion (KinFu) query scans in large-scale target indoor point clouds. We tackle the problem with a local shape ...
    • Retrieval of Non-rigid (textured) Shapes Using Low Quality 3D Models 

      Giachetti, Andrea; Farina, Francesco; Fornasa, Francesco; Tatsuma, Atsushi; Sanada, Chika; Aono, Masaki; Biasotti, Silvia; Cerri, Andrea; Choi, Sungbin (The Eurographics Association, 2015)
      This paper reports the results of the SHREC 2015 track on retrieval of non-rigid (textured) shapes from low quality 3D models. This track has been organized to test the ability of the algorithms recently proposed by ...
    • Scalability of Non-Rigid 3D Shape Retrieval 

      Sipiran, I.; Bustos, B.; Schreck, T.; Bronstein, A. M.; Bronstein, M.; Castellani, U.; Choi, S.; Lai, L.; Li, H.; Litman, R.; Sun, L. (The Eurographics Association, 2015)
      Due to recent advances in 3D acquisition and modeling, increasingly large amounts of 3D shape data become available in many application domains. This rises not only the need for effective methods for 3D shape retrieval, ...
    • Sketch-based 3D Object Retrieval Using Two Views and a Visual Part Alignment 

      Yasseen, Zahraa; Verroust-Blondet, Anne; Nasri, Ahmad (The Eurographics Association, 2015)
      Hand drawn figures are the imprints of shapes in human's mind. How a human expresses a shape is a consequence of how he or she visualizes it. A query-by-sketch 3D object retrieval application is closely tied to this concept ...