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Search Publications by: Afzal A. Godil (Fed)

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Displaying 26 - 50 of 74

Ground Truth Systems for Object Recognition and Tracking

March 29, 2013
Author(s)
Afzal A. Godil, Roger D. Eastman, Tsai H. Hong
In this report we discuss different types of ground-truth systems used for evaluation of object recognition and tracking systems in industrial manufacturing environments. We discuss three main ways for acquiring ground truth for object recognition and

A comparison of methods for Non-rigid 3D shape retrieval

September 26, 2012
Author(s)
Zhouhui Lian, Afzal A. Godil
Non-rigid 3D shape retrieval has become an active and important research topic in content-based 3D object retrieval. The aim of this paper is to measure and compare the performance of state-of-the-art methods for non-rigid 3D shape retrieval. The paper

An evaluation of local shape descriptors for 3D shape retrieval

September 26, 2012
Author(s)
Afzal A. Godil, Sarah Y. Tang
As the usage of 3D models increases, so does the importance of developing accurate 3D shape retrieval algorithms. A common approach is to calculate a shape descriptor for each object, which can then be compared to determine two objects’ similarity. However

Feature-preserved 3D Canonical Form

July 28, 2012
Author(s)
Afzal A. Godil, Zhouhui Lian
Abstract Measuring the dissimilarity between non-rigid objects is a challenging problem in 3D shape retrieval. One potential solution is to construct the models’ 3D canonical forms (i.e., isometry-invariant representations in 3D Euclidean domain) on which

A New Convexity Measurement for 3D Meshes

June 16, 2012
Author(s)
Afzal A. Godil, Zhouhui Lian
This paper presents a novel convexity measurement for 3D meshes. The new convexity measure is calculated by minimizing the ratio of the summed area of valid regions in a mesh’s six views, which are projected on faces of the bounding box whose edges are

SHREC’12 Track: Generic 3D Shape Retrieval

May 13, 2012
Author(s)
Bo Li, Afzal A. Godil
Generic 3D shape retrieval is a fundamental research area in the field of content-based 3D model retrieval. The aim of this track is to measure and compare the performance of generic 3D shape retrieval methods implemented by different participants over the

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

May 13, 2012
Author(s)
Bo Li, Afzal A. Godil
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

A Feature-preserved Canonical Form for Non-rigid 3D Meshes

April 14, 2011
Author(s)
Zhouhui Lian, Afzal A. Godil
Measuring the dissimilarity between non-rigid objects is a challenging problem in 3D shape retrieval. One potential solution is to construct the models’ 3D canonical forms (i.e., isometry-invariant representations in 3D Euclidean space) on which any rigid

SHREC’11 Track: Generic Shape Retrieval

April 14, 2011
Author(s)
Helin Dutagaci, Afzal A. Godil
In this paper we present the results of the 3D Shape Retrieval Contest 2011 (SHREC’11) track on generic shape retrieval. The aim of this track is to evaluate the performance of 3D shape retrieval algorithms that can operate on arbitrary 3D models. The

Evaluation of 3D Interest Point Detection Techniques

April 7, 2011
Author(s)
Helin Dutagaci, Chun Pan (Benny) Cheung, Afzal A. Godil
In this paper, we compare the results of five 3D interest point detection techniques to the interest points marked by human subjects. This comparison is used to quantitatively evaluate the interest point detection algorithms. We asked human subjects to

Salient Local 3D Features for 3D Shape Retrieval

April 7, 2011
Author(s)
Afzal A. Godil, Asim Wagan
In this paper we describe a new formulation for the 3D salient local features based on the voxel grid inspired by the Scale Invariant Feature Transform (SIFT). We use it to identify the salient keypoints (invariant points) on a 3D voxelized model and

SHREC’11 Track: Shape Retrieval on Non-rigid 3D Watertight Meshes

April 7, 2011
Author(s)
Zhouhui Lian, Afzal A. Godil
Non-rigid 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 non-rigid 3D shape retrieval methods implemented by different participants around

A Benchmark for Best View Selection of 3D Objects

December 23, 2010
Author(s)
Helin Dutagaci, Chun Pan (Benny) Cheung, Afzal A. Godil
The best view selection corresponds to the task of automatically selecting the most representative view of a 3D model. In this paper, we describe a benchmark for evaluation of best view selection algorithms. The benchmark consists of the preferred views of

Benchmarks, Performance Evaluation and Contests for 3D Shape Retrieval

December 20, 2010
Author(s)
Afzal A. Godil, Zhouhui Lian, Helin Dutagaci
Benchmarking of 3D Shape retrieval allows developers and researchers to compare the strengths of different algorithms on a standard dataset. Here we discuss the different steps involved in developing a benchmark and some of the issues involved. We then

A Shape-based Searching System for Industrial Components

July 24, 2010
Author(s)
Chun Pan (Benny) Cheung, Afzal A. Godil
A web-based application has been developed for shape-based searching for industrial components. The application is based on Flex, which is excellent at providing highly interactive user interfaces, and O3D, which can display 3D models in a web browser

Investigating the Bag-of-Words Method for 3D Shape Retrieval

June 30, 2010
Author(s)
Afzal A. Godil, Xiaolan Li
This paper investigates the capabilities of the Bag-of-Words (BW) method in the 3D shape retrieval field. The contributions of this paper are: 1) the 3D shape retrieval task is categorized from different points of view: specific vs. generic, partial-to

Visual Similarity based 3D Shape Retrieval Using Bag-of-Features

June 21, 2010
Author(s)
Zhouhui Lian, Afzal A. Godil, Xianfang Sun
This paper develops a novel 3D shape retrieval method, which uses Bag-of-Features and an efficient multi-view shape matching scheme. In our approach, a properly normalized object is first described by a set of depth-buffer views captured on the surrounding

3D shape retrieval based on Multi-scale Integral Orientations

May 2, 2010
Author(s)
Afzal A. Godil, Stephane Bres, Asim Wagan
In this paper we describe a novel 3D shape retrieval method based on Multi-scale Integral Orientations. In our approach, a 3D model after normalization is represented by a set of depth images captured uniformly on a unit circle. Then the shape descriptor

SHREC '10 Track: Large Scale Retrieval

May 2, 2010
Author(s)
Zhouhui Lian, Afzal A. Godil, Geert-Jan Giezeman, Ryutarou Ohbuchi, Waqar Saleem, Takahiko Furuya, Thomas Baumbach, Hannah Bast, Joachim Giesen
We present the results of the ULDS track of the shape retrieval contest SHREC 2010. The task was to perform 40 queries in a dataset of 10000 shapes. We describe the methods used by the contestants and discuss the results.

SHREC 10 Track: Generic 3D Warehouse

May 2, 2010
Author(s)
Vanamali ThiruvadandamPorethi, Afzal A. Godil, Helin Dutagaci, Zhouhui Lian, Ryutarou Ohbuchi, Takahiko Furuya
In this paper we present the results of the Shape Retrieval Contest 10 (SHREC 10) of Generic 3D Warehouse. The aim of this track was to evaluate the performances of various 3D shape retrieval algorithms on a large Generic benchmark based on the Google 3D

SHREC 10 Track: Non-rigid 3D Shape Retrieval

May 2, 2010
Author(s)
Zhouhui Lian, Afzal A. Godil
Non-rigid shape matching is one of the most challenging fields in content-based 3D object retrieval. The aim of the SHREC 2010 - Shape Retrieval Contest of Non-rigid 3D Models is to evaluate and compare the effectiveness of different methods run on a non