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Search Publications by: Afzal A. Godil (Fed)

Displaying 26 - 50 of 148

SHREC14 Track: Shape Retrieval of Non-Rigid 3D Human Models

June 12, 2014

Author(s)

Afzal A. Godil, Chunyuan Li

We have created a new benchmarking dataset for testing non-rigid 3D shape retrieval algorithms, one that is much more challenging than existing datasets. Our dataset features exclusively human models, in a variety of body shapes and poses. 3D models of

SHREC14 Track: Extended Large Scale Sketch-Based 3D Shape Retrieval

June 12, 2014

Author(s)

Afzal A. Godil, Chunyuan Li

Large scale sketch-based 3D shape retrieval has received more and more attentions in the community of content- based 3D object retrieval. The objective of this track is to evaluate the performance of different sketch-based 3D model retrieval algorithms

SHREC14 Track: Large Scale Comprehensive 3D Shape Retrieval

June 12, 2014

Author(s)

Afzal A. Godil, Chunyuan Li

The objective of this track is to evaluate the performance of 3D shape retrieval approaches on a large-sale com- prehensive 3D shape database which contains different types of models, such as generic, articulated, CAD and architecture models. The track is

SHREC14 Track: Retrieval and classification on Textured 3D Models

June 12, 2014

Author(s)

Afzal A. Godil

This contribution reports the results of the SHREC 2014 track: Retrieval and classification on textured 3D models, whose goal is to evaluate the performance of retrieval algorithms when models vary either by geometric shape or texture, or both. The

Towards a Classification System of Manufacturing Objects for the Evaluation of Perception Systems

February 27, 2014

Author(s)

Geraldine S. Cheok, Marek Franaszek, Afzal A. Godil, Kamel S. Saidi, Roger Eastman, Tsai H. Hong

Feature Measures for the Segmentation of Neuronal Membrane using Machine Learning Algorithm

January 6, 2014

Author(s)

Afzal A. Godil, Saadia S. Iftikhar

In this paper, we present a Support Vector Machine (SVM) based pixel classifier for a semi-automated segmentation algorithm to detect neuronal membrane structures in stacks of electron microscopy images of brain tissue samples. This algorithm uses high-

The Detection of Neuronal Structures using a Patch-based Multi-features and Support Vector Machines Learning Algorithm

December 24, 2013

Author(s)

Saadia S. Iftikhar, Afzal A. Godil

In this research, we present an (semi-) automated segmentation algo-rithm using a Support Vector Machine classifier. This algorithm uses a high-dimensional feature space generated from patch-based multiple-features and a training dataset in order to detect

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

December 13, 2013

Author(s)

Afzal A. Godil

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

Exploring Local Features and the Bag-of-Visual-Words Approach for BioImage Classification

November 5, 2013

Author(s)

Afzal A. Godil, Asim Wagan

With recent advances in imaging technologies large numbers of bioimages are currently being acquired. Automated classification of these bio-images is a very important and challenging problem. Here we investigate the capabilities of local features and the

Hybrid shape descriptor and meta similarity generation for non-rigid and partial 3D model retrieval

July 26, 2013

Author(s)

Afzal A. Godil

Non-rigid and partial 3D model retrieval are two significant and challenging research directions in the field of 3D model retrieval. Little work has been done in proposing a hybrid shape descriptor that works for both retrieval scenarios, let alone the

Non-Rigid and Partial 3D Model Retrieval Using Hybrid Shape Descriptor and Meta Similarity

July 26, 2013

Author(s)

Bo Li, Afzal A. Godil, Henry Johan

3D Ground-Truth Systems for Object/Human Recognition and Tracking

June 28, 2013

Author(s)

Afzal A. Godil, Roger V. Bostelman, Kamel Saidi, William P. Shackleford, Geraldine Cheok, Michael O. Shneier, Tsai H. Hong

We have been researching 3D ground-truth systems for performance evaluation of vision and perception systems in the fields of smart manufacturing and robotics safety. In this paper we first present an overview of different systems that have been used to

CM-BOF: Visual Similarity based 3D Shape Retrieval Using Clock Matching and Bag-of-Features

June 6, 2013

Author(s)

Afzal A. Godil, Zhouhui Lian

Content-based 3D object retrieval has be- come an active topic in many research communities. In this paper, we propose a novel visual similarity based 3Dshaperetrievalmethod(CM-BOF)usingClockMatch- ing and Bag-of-Features. Specifically, pose normaliza-

SHREC13 Track: Large Scale Sketch-Based 3D Shape Retrieval

June 6, 2013

Author(s)

Afzal A. Godil, Bo Li , Yijuan Lu, Tobias Schreck

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