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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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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 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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Shape Based Joint Detection and Tracking with Adaptive Multi-motion Model and its Application in Large Lump Detection
DownloadSpring 2012
This thesis is motivated by a practical real application, Large Lump Detection (LLD), for which we provide a complete automatic system to detect large lumps in the oil sands mining surveillance videos. To this end, we propose a solution built around three main research components, each of which...
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Fall 2012
This dissertation contributes to developing shape-guided algorithms for interactive image segmentation. Prior knowledge which describes what is expected in an image is the key to success for many challenging applications. This research takes advantage of prior knowledge in terms of shape priors,...
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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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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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Fall 2014
This thesis is concerned with the ultrasonic heart image segmentation problem using parametric active contour model. Most of the existing parametric models consider only either the edge or the regional information. In this thesis, we propose a new parametric active contour model considering both...
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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 2015
There is considerable research work going on segmentation of RGB-D clouds due its applications in tasks like scene understanding, robotics etc. The availability of inexpensive and easy to use RGB-D cameras and computational capabilities of GPUs has lead to development of numerous applications in...
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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...