Shazmin Aniza Abdul Shukor, Assoc. Prof. Dr.
http://dspace.unimap.edu.my:80/xmlui/handle/123456789/33028
This page provides access to scholarly publications by UniMAP Faculty members and researchers.2024-03-28T20:41:58ZOrientation-based pairwise coarse registration with markerless terrestrial laser scans
http://dspace.unimap.edu.my:80/xmlui/handle/123456789/68469
Orientation-based pairwise coarse registration with markerless terrestrial laser scans
Siti Nurhashima, Mohd Isa; Shazmin Aniza, Abdul Shukor; I., Maarof; Zainor Ridzuan, Yahya; Norasmadi, Abdul Rahim; Ammar, Zakaria; A. H., Abdullah; R., Wong
In this paper, pairwise coarse registration is presented using real world point cloud data obtained by terrestrial laser scanner and without information on reference marker on the scene. The challenge in the data is because of multi-scanning which caused large data size in millions of points due to limited range about the scene generated from side view. Furthermore, the data have a low percentage of overlapping between two scans, and the point cloud data were acquired from structures with geometrical symmetry which leads to minimal transformation during registration process. To process the data, 3D Harris keypoint is used and coarse registration is done by Iterative Closest Point (ICP). Different sampling methods were applied in order to evaluate processing time for further analysis on different voxel grid size. Then, Root Means Squared Error (RMSE) is used to determine the accuracy of the approach and to study its relation to relative orientation of scan by pairwise registration. The results show that the grid average downsampling method gives shorter processing time with reasonable RMSE in finding the exact scan pair. It can also be seen that grid step size is having an inverse relationship with downsampling points. This setting is used to test on smaller overlapping data set of other heritage building. Evaluation on relative orientation is studied from transformation parameter for both data set, where Data set I, which higher overlapping data gives better accuracy which may be due to the small distance between the two point clouds compared to Data set II.
Link to publisher's homepage at https://www.isprs.org/publications/archives.aspx
2019-01-01T00:00:00ZAdapting SICK PLS 101 laser scanner for 3D interior modelling data collection
http://dspace.unimap.edu.my:80/xmlui/handle/123456789/39912
Adapting SICK PLS 101 laser scanner for 3D interior modelling data collection
Shazmin Aniza, Abdul Shukor, Dr.
This paper highlights on the process of optimizing a SICK PLS 101 laser scanner sensor to collect 3D data of building interiors. The sensor, which is an industrial-based, is used to perform tasks like inspection, metrology and safety. 3D modelling of building interiors has gained a lot of interest recently, and the model can be used as the 3D as-built and assist facility management processes, as well as for preserving and conservation of old important buildings. On the other hand, not all sensors are capable of generating suitable data that can be used to produce the 3D model. LIDAR for example, is the preferred sensor in collecting interior data, but is prohibitive to some due to its cost. In addition to that, it usually comes with its own programme to collect the data, which can lead towards standardization issues. Other system like stereo vision can also be used; however it has limitations when handling occlusion and clutter while capturing in-use interior data. Thus, utilizing a SICK PLS 101 laser scanner to collect 3D interior data will provide a low cost solution in producing 3D interior models. The laser sensor can only scan in 2D for 180° horizontal area, yet by installing a servo motor, it is able to scan a hemispherical area in one operation. The overall system is sufficient to gather 3D data of a building interior – it can handle occlusions and clutter within an interior, is able to produce a standard ASCII file as well as generating output with adequate resolution, which can also solve the issues of standardization and the massive datasets created by LIDAR. As a conclusion, by optimizing a SICK PLS 101 laser scanner, we are able to produce a low cost, low level solution to gather 3D data of building interiors. Due to the restriction in cost and features of other sensors, the capability to utilize this sensor is appreciated.
Link to publisher's homepage at http://www.penerbit.utm.my/
2014-01-01T00:00:00ZComparison study between multimedia and simulation courseware toward students’ achievement based on different levels of motivation
http://dspace.unimap.edu.my:80/xmlui/handle/123456789/23787
Comparison study between multimedia and simulation courseware toward students’ achievement based on different levels of motivation
Zol Bahri, Razali, Dr.; Shazmin Aniza, Abdul Shukor
The teaching-learning approach used in all core subjects at Universiti Malaysia
Perlis (UNIMAP) is the ‘hands-on’ approach. Students will be exposed to real-life apparatus
to increase the awareness and understand more on the engineering concepts. Nevertheless,
the lacking of these equipments, partly due to its size, cost and space, has hardened the
learning process. Therefore, suitable learning aids can be used to ensure students’
comprehension between theory and reality part. In this research, two types of learning
aids for self-paced learning were introduced to the student with different level of internal
motivation; courseware Simulation-based Actuators System, which is emphasizes the used of
animation and Multimedia-based Actuators System, presentation module which developed
using all the multimedia features. A specific topic was used as a model for testing the
efficiency of the learning aids. Therefore the objective of this research is to study the
achievements of the student which different level of internal motivation in self-paced
learning using developed learning aids. This study was identifying and comparing the
significant difference in overall achievement of using both learning aids. The result has
shown the usage of Simulation-based Actuators System can contribute to more positive and
high overall achievement to the Low Internal Motivation’s student achievement.
Link to publisher's homepage at http://www.utm.my/
2006-12-01T00:00:00ZA fast knowledge-based plane reconstruction method from noisy 3D point cloud data
http://dspace.unimap.edu.my:80/xmlui/handle/123456789/13976
A fast knowledge-based plane reconstruction method from noisy 3D point cloud data
Shazmin Aniza, Abdul Shukor; Young, Ken
This paper presents a knowledge-based method of planar surface reconstruction from noisy 3D point cloud data which produces a fast and reliable modelling of an indoor environment. The data used is obtained from a laser scanner, which is known for its rapidness and accuracy in 3D reconstruction. The laser is attached together with a servo motor at a 45cm height mobile platform to give a complete 180° from top to bottom, and 180° from left to right, which allows the reconstruction process to be made on just a single scan. It takes about 1.3 seconds for the algorithm to process and produce the 3D modelling of all existing surfaces on a normal working computer. Our method has been tested in both uncluttered and real office environment. It can be applied towards developing an as-built building information models (BIM) in architectural and semantic mapping for robotics applications.
12th IASTED International Conference on Computer Graphics and Imaging (CGIM 2011) organized by International Association of Science and Technology for Development (IASTED), 16th - 18th February 2011 at Innsbruck, Austria.
2011-02-16T00:00:00Z