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Search Publications by: Afzal A. Godil (Fed)

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Displaying 51 - 75 of 148

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

SHREC12 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

SHREC12 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

SHREC11 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