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A M. Bronstein, M M. Bronstein, U Castellani, B Falcidieno, A. Fusiello, Afzal A. Godil, L J. Guibas, I Kokkinos, Zhouhui Lian, M Ovsjanikov, G Patane, M. Spagnuolo, R Toldo
SHREC 10 robust large-scale shape retrieval benchmark simulates a retrieval scenario, in which the queries include multiple modifications and transformations of the same shape. The benchmark allows evaluating how algorithms cope with certain classes of
Helin Dutagaci, Afzal A. Godil, Chun Pan (Benny) Cheung
The SHREC 10 Shape Retrieval Contest of Range Scans aims at comparing algorithms that match a range scan to complete 3D models in a target database. The queries are range scans of real objects, and the objective is to retrieve complete 3D models that are
Helin Dutagaci, Afzal A. Godil, Bulent Sankur, Yucel Yemez
View-based indexing schemes for 3D object retrieval is gaining popularity since they provide good retrieval results. These schemes are coherent with the theory that humans recognize objects based on their 2D appearances. The view-based techniques also
Christopher J. Scrapper Jr, Rajmohan Madhavan, Adam S. Jacoff, R Lakaemper, A Censi, Afzal A. Godil, Asim Wagan
Mobile robotic mapping is now considered to be a sufficiently mature field with demonstrated successes in various domains. While there has been much progress made in the development of computationally efficient and consistent mapping schemes, it is still
The understanding of shape and size of the human head and faces is vital for design of facial wear products, such as respirators, helmets, eyeglasses and for ergonomic studies. 3D scanning is used to create 3D databases of thousands of humans from
Afzal A. Godil, Helin Dutagaci, Xiaolan Li, Petros Daras, Ryutarou Ohbuchi, Takahiko Furuya, Masaki Tezuka, Thibault Napoleon
The annual SHape REtrieval Contest (SHREC) measures the performance of 3D model retrieval methods for several different types of models and retrieval purposes. In this contest the structural shape retrieval track focuses on the retrieval of 3d models which
Helin Dutagaci, Afzal A. Godil, A. Axenopoulos, P. Daras, T. Furuya, R. Ohbuchi
The objective of the SHREC 09 Shape Retrieval Contest of Partial Models is to compare the performances of algorithms that accept a range image as the query and retrieve relevant 3D models from a database. The use of a range scan as the query addresses a
In this paper we present the results of the SHREC 09- Generic Shape Retrieval Contest. The aim of this track was to evaluate the performances of various 3D shape retrieval algorithms on the NIST generic shape benchmark. We hope that the NIST shape
Recently, content based 3D shape retrieval has drawn more and more attention by researchers. How to properly evaluate the result of shape searching algorithms is important. Benchmarking is one answer to this question. Due to the limitations of current
Afzal A. Godil, Chun Pan (Benny) Cheung, Asim Wagan, Xiaolan Li
Bio-imaging toolkit is an application for biological imaging community that will bring in the latest efforts in indexing, searching, navigation, discovery, analysis and annotation for both biological image and video collections. This paper discusses both
This paper presents a new method for 3D shape retrieval based on the bags-of-words model along with a weak spatial constraint. First, a two-pass sampling procedure is performed to extract the local shape descriptors, based on spin images, which are used to
The field of anthropometry is the science of measurement of the human body from which comparisons and characterizations of the size and shape of the body in different postures can take place. The size and shape of human bodies are important in many