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.
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Showing 1 to 20 of 179 for “"monocular"”.
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MONOCULAR VISUAL ODOMETRY
… only up to an unknown scale factor in a monocular setup. Visual place recognition (VPR) can provide absolute pose estimates by matching the current camera frame to a database of reference images labeled with known coordinates. By using VPR to provide absolute pose estimates in the map and …
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Monocular and Binocular Visual Tracking
… describes a new approach to visual tracking for monocular and binocular image sequences, and for both passive and active cameras. The method combines Kalman-type prediction with steepest-descent search for correspondences, using 2-dimensional affine mappings between images. This approach differs …
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Learning Monocular Cues in 3D Reconstruction
… a single 2D image is an *ill-posed* problem, monocular cues -- e.g. texture gradients and vanishing points -- allow us to build a plausible 3D reconstruction of the scene. The goal of this thesis is to propose new techniques to learn monocular cues and demonstrate how they can be used in …
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Corridor Navigation for Monocular Vision Mobile Robots
<p>Monocular vision robots use a single camera to process information about its environment. By analyzing this scene, the robot can determine the best navigation direction. Many modern approaches to robot hallway navigation involve using a plethora of sensors to detect certain features in the …
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Towards holistic scene understanding from monocular video
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2024-08-01
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Unsupervised monocular depth estimation: Learning to generalize
Models for unsupervised monocular depth estimation (MDE) have gained much attention due to recent breakthroughs and the ability to train with unlabeled data. Despite the state-of-the-art methods performing well on depth prediction benchmarks, certain artifacts and their performance compared to …
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Probabilistic Methods for Monocular 3D Human Reconstruction
… for the ill-posed nature of the problem of monocular 3D reconstruction, where a single 2D input image gives rise to multiple reasonable 3D solutions. In recent years, great progress has been made towards computer vision algorithms that can imitate a human's ability to reconstruct in 3D from …
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Monocular vision for collision avoidance in vehicles
… of stereovision systems in car automation with monocular vision systems. The monocular system pairs a camera and passive lens with an active lens. Most active lenses require linear actuating systems to adjust the optical parameters of the system but this experiment employed an Optotune focus …
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Monocular Visual Inertial Odometry using Learning-based Methods
… approaches to Odometry estimation using a monocular camera and inertial measurement unit. The networks are well-trained on standard datasets, KITTI and EuROC, and a custom dataset using supervised, unsupervised and semi-supervised training methods. Compared to traditional methods, the …
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Acuity, Luminance and Monocular Deprivation in the Cat.
… dominance condition of cortical neurons in monocularly deprived (MD) cats. Monocular deprivation during this period resulted in ocular dominance shifting in favor of the nondeprived eye. They determined that the effects of monocular deprivation were approximately proportional to the period …
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3D facial performance capture from monocular RGB video.
3D facial performance capture is an essential technique for animation production in featured films, video gaming, human computer interaction, VR/AR asset creation and digital heritage, which all have huge impact on our daily life. Traditionally, dedicated hardware such as depth sensors, laser …
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Self-supervised Learning of Monocular Depth from Video
… This thesis addresses the specific problem of monocular depth estimation via self-supervised learning from RGB-only videos. Although existing work has shown partial excellent results in benchmark datasets, there remain several vital challenges that limit the use of these algorithms in general …
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Multiview monocular depth estimation using unsupervised learning methods
Existing learned methods for monocular depth estimation use only a single view of scene for depth evaluation, so they inherently overt to their training scenes and cannot generalize well to new datasets. This thesis presents a neural network for multiview monocular depth estimation. Teaching a …
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Attention-enhanced Cross-View Transformer for monocular BEV perception
Accurately understanding road scenes from monocular images is essential for autonomous driving, yet generating reliable bird's-eye view (BEV) layouts from single front-view inputs remains challenging. This thesis presents an enhanced cross-view learning framework building upon the PYVA …
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Direct Visual and Inertial Odometry for Monocular Mobile Platforms
… to providing location information through a monocular camera, while fusing with the inertial information to enhance the robustness and accuracy. The proposed algorithms can be applied to practical datasets which are collected from mobile platforms. Particularly, direct-based and mutual …
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Monocular Vision and Image Correlation to Accomplish Autonomous Localization
… aims to provide one such technique based on monocular vision. First, the system requires a map be generated, which consists of a set of geo-referenced video images. This map is generated offline before autonomous navigation is required. When an autonomous vehicle is later deployed, it will be …
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Monocular depth prediction with object removal from single image
Made available in DSpace on 2019-11-26T20:56:42Z (GMT). No. of bitstreams: 2 ISSARANON-THESIS-2019.pdf: 7688701 bytes, checksum: baa450593876648cfe266eb94e08f620 (MD5) LICENSE.txt: 4216 bytes, checksum: 2d6304943912f430c696ec1b407c7055 (MD5) Previous issue date: 2019-07-12
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Real-time Monocular Vision-based Tracking For Interactive Augmented Reality
The need for real-time video analysis is rapidly increasing in today's world. The decreasing cost of powerful processors and the proliferation of affordable cameras, combined with needs for security, methods for searching the growing collection of video data, and an appetite for high-tech …
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