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 14 of 14 for “"cluttered scenes"”.
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DexWrist: A Robotic Wrist for Constrained and Dynamic Manipulation
… workspace of manipulation for approaching highly cluttered scenes and tasks. More details about the wrist can be found at: https://sites.google.com/view/dexwrist/home.
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Person tracking in 3D using Kalman filtering in single and multiple camera environments
… and terminate the tracks of several people in cluttered scenes. However, further optimisation of the algorithm is required to achieve tracking in real time.
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Learning of Multi-Dimensional, Multi-Modal Features for Robotic Grasping
… of the object's 3D position and orientation in cluttered scenes. The grasp model represents the likelihood of success of relative object-gripper configurations. Initial models are acquired from visual cues or by observing a teacher. Models are then refined autonomously by ``playing' with objects …
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Parallelized two-stage object detection in cluttered RGB-D scenes
… that improves multiple object detection in cluttered scenes. The first stage aims to achieve high precision, even at the cost of lower recall, by detecting only the less occluded objects. This results in large fraction of the scene being labeled which enables the algorithm in the second …
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The quaternion Bingham Distribution, 3D object detection, and dynamic manipulation
… state-of-the-art detection rates in highly cluttered scenes, while also enabling the ping pong robot to track the orientation and spin on flying ping pong balls. To enable the robot to actually play ping pong, we also explored a new method for incorporating human advice into a robot's motor …
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Object recognition with latent Conditional Random Fields
… recognition of object classes from unsegmented cluttered scenes. Objects are modelled as flexible constellations of parts conditioned on local observations. For each object class the probability of a given assignment of parts to local features is modelled by a Conditional Random Field (CRF). We …
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Automated Detection and Localization of Blastholes Through UAV Imaging and Machine Learning
… and CNN architectures to locate drillholes in cluttered scenes (typical in drill patterns). Once the training process reached enough validation accuracy, we tested the models with data left apart at the beginning of the process (testing datasets). The high recall, precision, and percentage of …
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Inhibitory mechanisms for visual learning in the human brain
Identifying targets in cluttered scenes is critical for our interactions in complex environments. Our visual system is challenged to both detect elusive targets that we may want to avoid or chase and discriminate between targets that are highly similar. These tasks require our visual system to …
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Development of a Hierarchical Reflexive Control Framework for Autonomous Robotic Manipulation
… experiments with single objects as well as cluttered scenes, using a variety of state-of-the-art grasp planners. Our results show greatly improved grasp robustness with our reflexive controllers, across all object types and grasp planners. Further experiments show that the benefits of our …
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Color : functional organization and behavior
… of behavioral advantages: finding objects in cluttered scenes, recognizing familiar objects, and gleaning information about the material composition and state of objects (e.g. the edibility of fruit) and agents in the world (e.g. health or emotional status). As famously pointed out by Marr …
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Geometric feature distributions for shape representation and recognition.
… is robust to the problems arising in cluttered scenes. Representations produced by the scheme are also invariant to certain object transformations, they degrade gracefully as the shape is fragmented and are strong enough to support discrimination between dissimilar objects. By treating …
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Neuronal encoding of natural imagery in dragonfly motion pathways
… more difficult due to the complexity of visual scenes that contain detail on all scales of magnification, making the job of the predator particularly challenging. Here I investigate the physiology of neurons accessible through tracts in the third neuropil of the optic lobe of the dragonfly. It …
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Normalization Among Heterogeneous Population Confers Stimulus Discriminability on the Macaque Face Patch Neurons
… are capable of recognizing faces even in highly cluttered natural scenes. In order to understand how the primate brain achieves face recognition despite this clutter, it is crucial to study the representation of multiple faces in face selective cortex. However, contrary to the essence of natural …
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Time-of-flight perception pipeline for selective green asparagus harvesting: Theory and application
… evaluation of the performance of each method on cluttered scenes revealed both RANSAC and MHM to be suitable for soil plane segmentation of asparagus beds, with both methods demonstrating similar RMSE error across a variety of scenes. The stability of model predictions made by RANSAC was …