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open access

Urban surface characterization using LiDAR and aerial imagery.

Description: Many calamities in history like hurricanes, tornado and flooding are proof to the large scale impact they cause to the life and economy. Computer simulation and GIS helps in modeling a real world scenario, which assists in evacuation planning, damage assessment, assistance and reconstruction. For achieving computer simulation and modeling there is a need for accurate classification of ground objects. One of the most significant aspects of this research is that it achieves improved classificatio… more
Date: December 2009
Creator: Sarma, Vaibhav
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries
open access

Object Recognition Using Scale-Invariant Chordiogram

Description: This thesis describes an approach for object recognition using the chordiogram shape-based descriptor. Global shape representations are highly susceptible to clutter generated due to the background or other irrelevant objects in real-world images. To overcome the problem, we aim to extract precise object shape using superpixel segmentation, perceptual grouping, and connected components. The employed shape descriptor chordiogram is based on geometric relationships of chords generated from the pa… more
Date: May 2017
Creator: Tonge, Ashwini
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries
open access

Classifying Pairwise Object Interactions: A Trajectory Analytics Approach

Description: We have a huge amount of video data from extensively available surveillance cameras and increasingly growing technology to record the motion of a moving object in the form of trajectory data. With proliferation of location-enabled devices and ongoing growth in smartphone penetration as well as advancements in exploiting image processing techniques, tracking moving objects is more flawlessly achievable. In this work, we explore some domain-independent qualitative and quantitative features in raw… more
Date: May 2015
Creator: Janmohammadi, Siamak
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries
open access

3D Reconstruction Using Lidar and Visual Images

Description: In this research, multi-perspective image registration using LiDAR and visual images was considered. 2D-3D image registration is a difficult task because it requires the extraction of different semantic features from each modality. This problem is solved in three parts. The first step involves detection and extraction of common features from each of the data sets. The second step consists of associating the common features between two different modalities. Traditional methods use lines or ortho… more
Date: December 2012
Creator: Duraisamy, Prakash
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries
open access

Multi-perspective, Multi-modal Image Registration and Fusion

Description: Multi-modal image fusion is an active research area with many civilian and military applications. Fusion is defined as strategic combination of information collected by various sensors from different locations or different types in order to obtain a better understanding of an observed scene or situation. Fusion of multi-modal images cannot be completed unless these two modalities are spatially aligned. In this research, I consider two important problems. Multi-modal, multi-perspective image reg… more
Date: August 2012
Creator: Belkhouche, Mohammed Yassine
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries
open access

Video Analytics with Spatio-Temporal Characteristics of Activities

Description: As video capturing devices become more ubiquitous from surveillance cameras to smart phones, the demand of automated video analysis is increasing as never before. One obstacle in this process is to efficiently locate where a human operator’s attention should be, and another is to determine the specific types of activities or actions without ambiguity. It is the special interest of this dissertation to locate spatial and temporal regions of interest in videos and to develop a better action repre… more
Date: May 2015
Creator: Cheng, Guangchun
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries
open access

Design and Implementation of Large-Scale Wireless Sensor Networks for Environmental Monitoring Applications

Description: Environmental monitoring represents a major application domain for wireless sensor networks (WSN). However, despite significant advances in recent years, there are still many challenging issues to be addressed to exploit the full potential of the emerging WSN technology. In this dissertation, we introduce the design and implementation of low-power wireless sensor networks for long-term, autonomous, and near-real-time environmental monitoring applications. We have developed an out-of-box solutio… more
Date: May 2010
Creator: Yang, Jue
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries
open access

Investigation on Segmentation, Recognition and 3D Reconstruction of Objects Based on LiDAR Data Or MRI

Description: Segmentation, recognition and 3D reconstruction of objects have been cutting-edge research topics, which have many applications ranging from environmental and medical to geographical applications as well as intelligent transportation. In this dissertation, I focus on the study of segmentation, recognition and 3D reconstruction of objects using LiDAR data/MRI. Three main works are that (I). Feature extraction algorithm based on sparse LiDAR data. A novel method has been proposed for feature extr… more
Date: May 2015
Creator: Tang, Shijun
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries
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