Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 20 of 39 for “"object motion"”.
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Robotic control of sliding-object motion and orientation
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 1992.
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Computations of object motion in the visual cortex of the ferret
For living in a world in motion it is important to perceive and process motion of objects and predict their position along a motion trajectory. The image of the stimulus will move across the retina when viewing a moving stimulus with eyes fixed. Since the visual cortex is retinotopically organized …
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Rigid object motion estimation from intensity images using straight-line correspondences
Determining three-dimensional (3D) rigid object motion from intensity images is a central problem in computer vision. This thesis presents a computational approach of 3D rigid object motion estimation using straight line correspondences. Based on the rigidity assumption, a linear algorithm and a …
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Scanning-free compressive reconstruction of object motion with sub-pixel accuracy
… and applied a sparsity constraint on the object derivative space for compressive holography. Together with spectrum domain zero-padding, our compressive algorithm allows for sub-pixel accuracy edge localization. The extension to the 2D case is not trivial. It has been shown that the spiral …
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Learning about dynamic objects and recognizing static form
The effects of observed object motion on object perception are examined in two sets of studies. The first section of the thesis provides a thorough examination of various untested aspects of the basic "temporal association" hypothesis, which suggests that object motion provides a principled basis …
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Robotic manipulation by pushing at a single point with constant velocity : modeling and techniques
… the robot’s surroundings without grasping the object being manipulated. Non-prehensile manipulation allows a robot to interact in situations which would otherwise be impossible due to object size or mass. This thesis investigates the most general pushing mode, that of a single contact point, …
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Robustness of Novelty Preference For A Motion-Based One-Trial Object Recognition Task In Male and Female Adolescent Rats
<p>One-trial object recognition (OR) is a popular paradigm for conducting stress-free studies of rodent recognition memory. Rodents' response to novelty depends upon complex interactions between intrinsic and extrinsic motivations, many of which decrease validity for measures operationally defining …
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Design of an Adaptive Kalman Filter for Autonomous Vehicle Object Tracking
Tracking objects in the surrounding environment is a key component of safe navigation for autonomous vehicles. An accurate tracking algorithm is required following object identification and association. This thesis presents the design and implementation of an adaptive Kalman filter for tracking …
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Mechanisms of Multi-Object Working Memory and Motion Prediction in the Primate Brain
… set of theories concerns the structure of multi-object representations in the brain. Some studies claim the brain represents multiple objects by allocating them to disjoint “slots” in working memory, others claim that the brain flexibly distributes a common pool of resources across objects, and …
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Object Detection and Tracking Using Uncalibrated Cameras
This thesis considers the problem of tracking an object in world coordinates using measurements obtained from multiple uncalibrated cameras. A general approach to track the location of a target involves different phases including calibrating the camera, detecting the object's feature points over …
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Robust motion estimation techniques
… THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Motion estimation is a very important step in many video processing tasks, including video compression, object tracking, and etc. A video may experience both global motion and local object motion. Global motion includes camera rotation, zooming, and …
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Modeling Dynamic Objects in Scenes with Generative Particle Systems
Humans readily interpret the motion of deformable and rigid bodies, even when encountering unfamiliar objects with minimal shape or texture cues. In such cases, motion serves as a critical signal for recognition and understanding. Inspired by this ability, we propose a generative model that …
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Motion sculptures : automating artistic visualization of shape and time
… for automatically visualizing complex human and object motion via 3D motion sculptures -- a representation that conveys the 3D structure swept by the human's body as it moves through space. Given only a monocular RGB video as input, our algorithm computes the motion sculpture by estimating the …
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Facet model optic flow and rigid body motion
… iterative and a non-iterative one, determine 3D motion parameters and surface structure (relative depth) from the computed optic flow field. Finally we discuss a technique for the image segmentation based on the multi-object motion using both optic flow and its time derivative. The facet model …
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Techniques for automated classification of nighttime ionospheric images
… this modeling, the use of texture, difference, object motion, correlation, and long-term variation measurements are explored. Additionally, the Local Fisher Discriminant Analysis (LFDA) algorithm is considered as a means to reduce the computational complexity of the classification process …
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Pursuing Mid-level Perception from Casual Videos
… the problem of recovering depths and ego-motion despite of the dynamics in the video, which is only part of the mid-level perception problem. Why those in particular? First of all, they are the pillars of 3D understanding if the agent is able to move and interact with the dynamic world. In …
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Motion -Compensated 3-D Generalized Series Imaging
… includes a characterization of the effects of object motion in GS imaging. It is shown that, unlike other constrained dynamic imaging methods, measured data can be retrospectively processed to correct for motion after the experiment. This asset is especially important for 3-D imaging, where …
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Advancing In-hand Dexterous Manipulation via Machine Learning
… tools requires dexterously manipulating everyday objects like hammers, scissors, knives, screwdrivers, etc. While simple for humans, manipulating everyday objects remains a long-standing challenge that requires breakthroughs in robotic hardware, sensing, perception, and control algorithms. This …
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Time-to-Collision of Looming Spherical Objects: Tau Revisited
<p>As an object approaches an observer’s eye, tau, defined as the inverse relative expansion rate of the object’s image on the retina (Lee, 1976) approximates time-to-collision (TTC). Many studies have suggested that human observers use TTC information, but evidence for the use of tau remains …
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On Motion Parameterizations in Image Sequences from Fixed Viewpoints
… addresses the problem of parameterizing object motion within a set of images taken with a stationary camera. We develop data-driven methods across all image scales: characterizing motion observed at the scale of individual pixels, along extended structures such as roads, and whole image …
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