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Skip to Search Results- 1Elkerdawy, Sara
- 1Foroughi, Homa
- 1Hajebi, Kiana
- 1Hosseinzadeh Heydarabad,Sepideh
- 1Liu, Yang
- 1Mills, Michael J
- 2SLAM
- 1Active contour model
- 1Adaptive multi-motion model
- 1Appearance-based SLAM
- 1Automated Vehicle
- 1Collective Perception
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Fall 2013
This thesis is concerned with a measure of perceptual aliasing in image descriptors. Perceptual aliasing occurs when the one-to-one mapping relations between world states (objects) and their representation (descriptors) are not maintained. Our method measures the discriminating power of an image...
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Adaptive local threshold with shape information and its application to oil sand image segmentation
DownloadSpring 2010
This thesis is concerned with a novel local threshold segmentation algorithm for digital images incorporating shape information. In image segmentation, most local threshold algorithms are based only on intensity analysis. In many applications where an image contains objects with a similar shape,...
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Spring 2016
With the rapid development in visual sensors such as monocular vision, appearance-based robot simultaneous localization and mapping (SLAM) has become an open research topic in robotics. In appearance SLAM, a robot uses the visual appearance of locations (i.e., the images) acquired along its route...
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Spring 2012
My thesis focuses on automatic parameter selection for euclidean distance version of Locality Sensitive Hashing (LSH) and solving visual loop closure detection by using LSH. LSH is a class of functions for probabilistic nearest neighbor search. Although some work has been done for parameter...
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Computing Velocity of Multiple Objects in Sequences of Images With an Application In Water-Based Bitumen Extraction Process
DownloadSpring 2017
Image-based analysis of bitumen extraction process can provide the oil companies with useful information that can be used to assess their performance in retrieving bitumen from the oil sands. In this analysis, several slurry images are taken during the extraction process, and then image...
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Fall 2021
In this thesis, we propose the use of the polarization camera for high-dynamic-range (HDR) imaging. Specifically, observing that natural light can be attenuated differently by varying the orientation of the polarization filter, we treat the multiple images captured by the polarization camera as a...
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Fall 2015
Simultaneous localization and mapping (SLAM) in an unknown environment is a prerequisite to have a truly autonomous mobile robot. In this thesis, we focus on appearance-based visual SLAM, for which we develop a graph-based nearest-neighbor search algorithm to speed up bag-of-words (BoW) image...
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Spring 2017
Loop closure detection or place recognition is a fundamental problem in robot simultaneous localization and mapping (SLAM). SeqSLAM is considered to be one of the most successful algorithms for loop closure detection as it has been demonstrated to be able to handle significant environmental...
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Fall 2013
Many robotic systems are required to navigate or home to learned location using minimal resources. Autonomous robots are generally limited in computation and storage resources, imposing significant challenges on algorithm design. Particularly when only visual data is used, these algorithms need...
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Spring 2022
Montemayor Castillo, Eduardo I
Simultaneous Location and Mapping (SLAM) has been a well-pursued research area for computer vision and robotics. Robustness and performance are fields that address the efficiency of SLAM solutions. Hyperparameter Optimization (HPO) promises to find a hyperparameter set that displays the lowest...