A comparison of methods for sketch-based 3D shape retrieval

نویسندگان

  • Bo Li
  • Yijuan Lu
  • Afzal Godil
  • Tobias Schreck
  • Benjamin Bustos
  • Alfredo Ferreira
  • Takahiko Furuya
  • Manuel J. Fonseca
  • Henry Johan
  • Takahiro Matsuda
  • Ryutarou Ohbuchi
  • Pedro B. Pascoal
  • Jose M. Saavedra
چکیده

Sketch based 3D shape retrieval has become an important research topic in content based 3D object retrieval. To foster this research area, two Shape Retrieval Contest (SHREC) tracks on this topic have been organized by us in 2012 and 2013 based on a small scale and large scale benchmarks, respectively. Six and five (nine in total) distinct sketch based 3D shape retrieval methods have competed each other in these two contests, respectively. To measure and compare the performance of the top participating and other existing promising sketch based 3D shape retrieval methods and solicit the state of the art approaches, we perform a more comprehensive comparison of fifteen best (four top participating algo rithms and eleven additional state of the art methods) retrieval methods by completing the evaluation of each method on both benchmarks. The benchmarks, results, and evaluation tools for the two tracks are publicly available on our websites [1,2].

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A comparison of 3D shape retrieval methods based on a large-scale benchmark supporting multimodal queries

Large-scale 3D shape retrieval has become an important research direction in content-based 3D shape retrieval. To promote this research area, two Shape Retrieval Contest (SHREC) tracks on large scale comprehensive and sketch-based 3D model retrieval have been organized by us in 2014. Both tracks were based on a unified large-scale benchmark that supports multimodal queries (3D models and sketch...

متن کامل

SHREC'12 Track: Sketch-Based 3D Shape Retrieval

Sketch-based 3D shape retrieval has become an important research topic in content-based 3D object retrieval. The aim of this track is to measure and compare the performance of sketch-based 3D shape retrieval methods implemented by different participants over the world. The track is based on a new sketch-based 3D shape benchmark, which contains two types of sketch queries and two versions of tar...

متن کامل

SHREC’16 Track: 3D Sketch-Based 3D Shape Retrieval

Sketch-based 3D shape retrieval has unique representation availability of the queries and vast applications. Therefore, it has received more and more attentions in the research community of content-based 3D object retrieval. However, sketch-based 3D shape retrieval is a challenging research topic due to the semantic gap existing between the inaccurate representation of sketches and accurate rep...

متن کامل

SHREC'13 Track: Large Scale Sketch-Based 3D Shape Retrieval

Sketch-based 3D shape retrieval has become an important research topic in content-based 3D object retrieval. The aim of this track is to measure and compare the performance of sketch-based 3D shape retrieval methods based on a large scale hand-drawn sketch query dataset which has 7200 sketches and a generic 3D model target dataset containing 1258 3D models. The sketches and models are divided i...

متن کامل

SHREC ’ 14 Track : Extended Large Scale Sketch - Based 3 D Shape Retrieval

Large scale sketch-based 3D shape retrieval has received more and more attentions in the community of contentbased 3D object retrieval. The objective of this track is to evaluate the performance of different sketch-based 3D model retrieval algorithms using a large scale hand-drawn sketch query dataset on a comprehensive 3D model dataset. The benchmark contains 12,680 sketches and 8,987 3D model...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:
  • Computer Vision and Image Understanding

دوره 119  شماره 

صفحات  -

تاریخ انتشار 2014