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 16 of 16 for “"dynamic scene"”.
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Spatiotemporal Event Graphs for Dynamic Scene Understanding
Dynamic scene understanding is the ability of a computer system to interpret and make sense of the visual information present in a video of a real-world scene. In this thesis, we present a series of frameworks for dynamic scene understanding starting from road event detection from an autonomous …
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Dynamic Scene Editing via Semantically Trained 3D Guassians
Image-based 3D scene reconstruction continues to be a challenge as it involves solving both the sufficient 3D representation problem and the 3D reconstruction itself. One approach to tackle the rendering problem is 3D Gaussian Splatting because of its potential to produce fast and realistic renders …
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Empower dynamic scene understanding through scene flow estimation and object segmentation
Understanding dynamic 3D scenes—critical for applications like autonomous navigation and mixed reality—requires pars- ing both motion (scene flow) and object interactions (segmen- tation). Scene flow captures 3D motion fields, while segmen- tation isolates objects, enabling systems to interpret …
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High-Fidelity Image -Based Modeling
… of automatically acquiring geometric object and scene models from photographs or video clips. This dissertation addresses three core problems in image-based modeling: static scene reconstruction, high-fidelity camera calibration, and dynamic scene reconstruction. For static scene reconstruction, …
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Harnessing Sparse and Low-Dimensional Structures for Robust Clustering of Imagery Data
… of tracked image features of objects in a dynamic scene under the affine and perspective camera models, and the segmentation of a natural image into regions with homogeneous texture. We benchmark the performance of our methods on many publicly available notion and imagery datasets. Our …
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Performance Enhancements to Visual-Inertial SLAM for Robots and Autonomous Vehicles
… method for detecting and tracking humans in the scene in order to build 3D Dynamic Scene Graphs for high-level perception tasks, and evaluate our method in a photorealistic simulation environment. We conclude by commenting on the advantages of Kimera and identifying areas for future work.
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Constructing multiple objects across space and time
… as our environment is not static but dynamic it is necessary to combine sensory information over time and space. Despite, the ever-increasing neuroscientific results, much about the underlying brain mechanisms remains unknown. This thesis describes an effort of understanding how …
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3D Spatial Perception with Real-Time Dense Metric-Semantic SLAM
… and robots to have a shared understanding of the scene, while providing the robot with sufficient information to localize, plan shortest paths, and avoid obstacles along the way. We then present a novel 3D representation that abstracts a dense metric-semantic map into higher-level concepts – such …
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Image Based View Synthesis
… the image-based approach to synthesize a virtual scene using sparse images or a video sequence without the use of 3D models. In our scenario, a real dynamic or static scene is captured by a set of un-calibrated images from different viewpoints. After automatically recovering the geometric …
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Neural World Models for Computer Vision
… to scale world models to complex urban driving scenes. In our framework, we derive the probabilistic model of this active inference setting where the goal is to infer the latent dynamics that explain the observations and actions of the active agent. We optimise the lower bound of the log …
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thesis in the field of Mechanical Engineering: Relevance for Human-Robot Collaboration: Definitions, Systems, Algorithms, and Applications
… domains. To enable seamless interaction in dynamic and unpredictable environments, robots are required to efficiently and accurately perceive their surroundings, align reasoning with human cognition, anticipate key attributes, and generate safe, effective actions to support humans …
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Object Association Across Multiple Moving Cameras In Planar Scenes
… that captures the underlying geometry of planar scenes, and present algorithms to estimate geometric relationships between different cameras, which are subsequently used for co-operative association of objects. We first present a local1 object detection scheme that has three fundamental …
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Image-based 3D Reconstructions via Differentiable Rendering of Neural Implicit Representations
… surface modeling, sparse view reconstruction, or dynamic scene reconstruction. However, existing methods still make strict assumptions about the scenes captured and reconstructed, significantly constraining their application scenarios. For instance, current reconstructions typically assume the …
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Leveraging Geometric Priors for In-the-wild Pose Estimation and 3D Reconstruction
… problems related to pose estimation for static scenes. In the second part, we extend the setting from static scene to dynamic scene analysis and modeling. The first problem we consider is to estimate the camera pose of an image that captures an object from a known category. Specifically, we are …
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Digital Stack Photography and Its Applications
… challenging, and their applications. One is high-dynamic-range</p><p>(HDR) imaging of non-stationary dynamic scenes, in which the stacked</p><p>images vary in exposure conditions. The other</p><p>is large scale panorama composition from multiple images. In this</p><p>case, the image components are …
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Real-time Realistic Rendering And High Dynamic Range Image Display And Compression
… is, by its very nature, an image of high dynamic range (HDR). This leads to the issues of the display of such images on conventional low dynamic range devices and the development of data compression algorithms to store and recover the corresponding large amounts of detail found in HDR …