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 47 for “"Bounding Box"”.
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Pose Estimation and 3D Bounding Box Prediction for Autonomous Vehicles Through Lidar and Monocular Camera Sensor Fusion
… and lidar outputs to enhance the accuracy of 3D bounding box estimation, which is critical in occluded environments. Selecting an appropriate backbone for feature extraction is pivotal for achieving high detection accuracy. To address this challenge, we propose a method leveraging transfer …
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An Analysis of Motion Smoothness in Video Object Detection
… the matching of predictions with ground truth bounding box annotations from humans, to our knowledge, very little work is currently being done on analyzing bounding box path smoothness. Bounding box path smoothness is useful as it can contribute to improve machine vision. Additionally, it …
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Segment and Cut: A Simpler Method for Extracting Bounding-Boxes for Object Detection
Object detectors that are based on bounding-box regression are complex and require a lot of refinement to get good results. Is there a simpler way of doing object detection? To that end, I present a new method for object detection where you first segment an image, and then cut each object from the …
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Multiple Bounding Boxes Algorithm in Collision Detection and Its Performances in Sequential VS CUDA Parallel Processing
… in a 2D computer game uses a axisaligned bounding box around each sprite, and checks to determine if the bounding boxes overlap periodically. Using this single bounding box method may result in a large amount of pixel intersection tests, since a sprite may be composed of areas where the …
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Wire delay models for global placement of ASICs
… of pins on the net, the half perimeter of the bounding box enclosing the net, and the half perimeter of the bounding box enclosing the driving pin and the sink pin. On a training set of two designs and testing set of another two, the proposed model is 31% more accurate than the current …
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Hand detection on images based on deformable part models and additional features
… on an image is made when the system gets a bounding box which overlaps with at least 50% of any ground truth bounding box for a hand on the image. The initial average precision of this detector is around 0.215 compared with a state-of-art of 0.104; however, color and frequency features for …
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Optimization of Supersonic Aircraft Wing-Box using Curvilinear SpaRibs
… SpaRibs, to design supersonic aircraft wing-box in comparison to the use of classic design concepts that employ straight spars and ribs. The intent is to achieve a more efficient load-bearing mechanism and to passively control aeorelastic behavior of the structure under the flight loads. The …
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Object localization in natural images
… that takes as input a roughly localized object bounding box, and generates a more accurate localization of the object, both in the form of a bounding box and pixel-wise segmentation. Finally, we try to explore an alternative way to localize objects, by detecting object boundaries, which could …
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Glyph based segmentation of Chinese calligraphy characters in the "Collected Characters" stele.
… segmentation is the process of detecting the bounding box position of individual characters within a written text document image. The character segmentation problem remains extremely difficult for ancient Chinese calligraphy documents. This paper examines a glyph-based segmentation technique …
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Building Detection Using a Hybrid Methodology Applied to High Spatial Resolution Aerial Photographs
… and 2) replacing rectangle shape of the bounding box yielded by ESS with a freely shaped bounding box.</p>
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System for Collision Detection Between Deformable Models Built on Axis Aligned Bounding Boxes and GPU Based Culling
… Unit (GPU) based culling and Axis Aligned Bounding Box (AABB) based culling. Techniques for performing hierarchy-less GPU-based culling are given. We then discuss how and when to switch between GPU-based culling and AABB based techniques.
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A Study on Deepsea Fish Detection Using Convolutional Neural Networks
… model, trained on 4,505 images containing 15,463 bounding-box annotations, achieved a mean average precision (mAP@0.5) of 98.2% All models were trained on the SeaHawk computing cluster with four GPUs. These findings highlight promising directions for future research in video-based modeling, …
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Regularization, Uncertainty Estimation and Out of Distribution Detection in Convolutional Neural Networks
… We approach these three different problems using bounding box information and learning to produce high entropy predictions on out of distribution classes. To address the first problem, we propose a novel regularization method called CopyPaste. The idea behind our approach is that images from the …
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Visual relationship understanding
… vector between the embedded features of the bounding box regions of the subject and the object. Our model additionally incorporates the contextual information captured by the bounding box of the union of the subject and the object, and learns the embeddings guided by the constraint predicate …
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Predicting multi-person dynamics
… of this ability. Given a video and corresponding bounding box tracks, we propose various methods to predict the future shape, pose, and position of people in unseen frames. Other works that also tackle video-based mesh prediction of humans focus on predicting the shape and pose, ignoring the …
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Character extraction from ancient Chinese stele using discrete cosine transform
… in order to extract the characters by creating a bounding box in the image reconstructed by the inverse DCT. This work is a sub-project of a Chinese calligraphy bibliotic (analysis of handwriting for authenticity) project which attempts to speculate on possible sources of calligraphic texts used …
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Approximation Algorithms for Geometric Networks
… such that the area of their corresponding bounding box is minimized, and such that a grid may be placed over the rectangles. The grid should not intersect any rectangle, and each cell of the grid should contain at most one rectangle. All studied problems are such that they do not easily …
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Learning Semantic Information from Multimodal Data using Deep Neural Networks
… locations to the prediction model to generate a bounding box of a specific object. The bounding box is then fine-tuned by the adjustment model for more accurate size and location. A feedback and retrain mechanism is implemented that allows the users to manually adjust the generated bounding box …
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A Study in Object Detection and Classification Performance by Sensing Modality for Autonomous Surface Vessels
… strategy in the image frame to reduce bounding-box uncertainty. Performance metrics include training requirements, precision, recall, mean average precision (mAP), and computational efficiency. YOLO achieves low-latency, high-mAP visual detection, while GB-CACHE provides deterministic, …
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Deep Learning Models for Context-Aware Object Detection
… (ROI) to predefined classes and regressing a bounding-box around it without using any information about the corresponding scene. ContextNet is based on an intuitive idea of having cues about the general scene (e.g., kitchen and library), and changes the priors about presence/absence of some …
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