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 11 of 11 for “"complex scene"”.
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Memory for elements of a complex scene : binding and the influence of attention
Memory of a complex event includes a multitude of features (e.g., objects, people, and actions) as well as the overall context (e.g., going to a picnic). To recall a complex event you must bind together these features and context into an episodic memory representation. This process of binding …
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Long-range video motion estimation using point trajectories
… on challenging real-world videos that include complex scene geometry, multiple types of occlusion, regions with low texture, and non-rigid deformation.
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SnapshotNet: Self-supervised Feature Learning for Point Cloud Data Segmentation Using Minimal Labeled Data
<p>Manually annotating complex scene point cloud datasets is both costly and error-prone. To reduce the reliance on labeled data, a new model called SnapshotNet is proposed as a self-supervised feature learning approach, which directly works on the unlabeled point cloud data of a complex 3D scene. …
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Neural circuits for solving the cocktail party problem in mouse auditory cortex
Neural circuits that mediate complex behaviors contain several cell types, yet little is known about the role of each cell type within these circuits. An example problem in the auditory domain is how cortical circuits process complex natural sounds amidst competing stimuli from different spatial …
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Operating Room Awareness with the Smart Trocar: Innovative Laparoscopic Surgery
… the operating field, indirect 2D vision of a 3D complex scene, the presence of mirror effect, and operating rooms originally built for open surgery, conspire to make the surgeon's work more difficult and less efficient. We present a new technology, the Smart Trocar, which can compensate for these …
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The Perceptual Specificity of Representations of Complex Scenes for Rotation, Translation, and Reflection
The issue of how complex visual scenes are represented has received relatively little attention. Perceptual specificity refers to the degree to which a physical change to a stimulus, upon re-presentation, alters performance in any type of memory test. I investigated the perceptual specificity of …
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Effects of episodic familiarity and statistical regularity On intentional forgetting
… verbal material. Experiment 5 and 6 used complex scene images that varied in statistical regularity. Experiment 5 had no preview phase, whereas Experiment 6 introduced episodic familiarity through a preview phase. Experiment 7 assessed the perceived meaningfulness of previewed and …
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Image Classification With Unstructured Collections
Most methods for scene understanding in computer vision consider the analysis of a single image or video. However, there is also a long history in multi-view analysis. Having information from multiple views can provide many benefits, such as estimating depth, mitigating issues of occlusion, and …
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Video Scene Understanding: Semantic-based representation, Temporal Variation Modeling, Multi-Task Learning
… topics in computer vision is automatic video scene understanding where the ultimate goal is to build artificial intelligence systems comparable with humans in understanding video contents. Automatic video scene understanding covers many applications including (i) semantic functional complex …
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3D scene and object parsing from a single image
… Humans can effortlessly perceive the 3D scene and the unseen part of an object from a single image with a limited field of view. In the same sense, a robot that is designed to execute a few human-like actions should be able to infer the 3D visual world, from a single snapshot of a 2D …
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Real-time Realistic Rendering And High Dynamic Range Image Display And Compression
… noise reduction, dynamic object rendering and complex scene rendering. Monte Carlo noise is an inescapable artifact in synthetic images rendered using stochastic algorithm. This dissertation proposes two noise reduction algorithms to obtain high quality synthetic images. The first one models …