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 27 for “"keypoints"”.
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Improved detection and quantisation of keypoints in the complex wavelet domain
… suffer from two defects: a tendency to produce keypoints on straight edges at particular orientations and sensitivity to small translations of the image. We introduced a new corner energy function based on the Same Level Product (SLP) transform. This function performed well compared to previous …
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Medical Image Registration Using Artificial Neural Network
… thesis, artificial neural networks with curvelet keypoints are used to estimate the parameters of registration. Simulations show that the curvelet keypoints provide more accurate results than using the Discrete Cosine Transform (DCT) coefficients and Scale Invariant Feature Transform (SIFT) …
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Automatic Alignment of 3D Multi-Sensor Point Clouds
… the most distinct and well-distributed set of keypoints. Afterwards, every keypoint is characterized by a scale, rotation and translation invariant 3D surface descriptor, called the radial geodesic distance-slope histogram. Similar keypoints descriptors on the source and target datasets are …
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An empirical assessment of real-time progressive stereo reconstruction
… simultaneously. For the first pair of frames keypoints are detected and matched using a best practice keypoint detection and matching algorithm. The motion of the camera between the frames is then determined by decomposing the essential matrix which is determined from the fundamental matrix, …
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L'estimation de pose 6DOF pour les objets industriels complexes dans le cadre de bin picking
… neurones profond de vote 3D pour déterminer les keypoints 3D à la manière de VoteNet lancé par Facebook. De ce fait, la contribution de ce travail est d’intégrer la base de données T-LESS d’objets industriels à PVN3D. Comme résultat final, en exécutant PVN3D, l’objet T-LESS est bien reconnu et …
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Human inspired pattern recognition via local invariant features
… to the human visual cortex using high quality keypoints by optimizing the scale space and pairing keypoints with edges as input into the model. This research uses the Taguchi Design of Experiments approach to find optimal values for the SIFT parameters with respect to finding correct matches …
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Place Recognition Anywhere Model for Efficient Large-scale Localization
… directly with transformers by taking sparse keypoints as input, resulting in efficient sparse recognition of a large number of landmarks. (3) PRAM discards global descriptors and repetitive 2D descriptors and establishes 2D-3D matches with the guidance of predicted landmark labels, so PRAM …
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Online 3D Reconstruction and Ground Segmentation using Drone based Long Baseline Stereo Vision System
… uses feature matching in 2D images, converts keypoints to 3D using disparity images, estimates rigid body transformation between matched 3D keypoints and fits point clouds. To correct and control orientation and localization errors, it fits re-projected UAV positions on GPS recorded UAV …
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Text-Driven Movie Manipulation
… with an existing architecture for extracting keypoints, manipulating a representative frame to fit the user’s textual description through latent optimization, and producing a new video in a single forward pass. Our method requires an artist to follow 3 simple steps to manipulate a video and …
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Building Detection Using a Hybrid Methodology Applied to High Spatial Resolution Aerial Photographs
… The results suggest that the newly proposed keypoints extraction is superior to the original method, achieving an correct detection rate of 71.34%, which was reasonable and useful for future exploration. It was also more computationally efficient. In the second part of the experiment, the …
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Towards a Visual Simultaneous Localization and Mapping System for Computationally Constrained Systems
… In this work, Binary Robust Invariant Scalable Keypoints (BRISK) and Oriented FAST and Rotated BRIEF (ORB) feature descriptors are introduced and compared against Speeded Up Robust Features (SURF). BRISK is shown to achieve similar relative pose estimation performance than SURF while being an …
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Landmarks for clothing retrieval
… top 5 and 11% top 10 retrieval results using the keypoints extraction methods combined with whole images compared to whole images as inputs. We also observe that the clothes retrieved are more similar in terms or design as well as high level properties like sleeve sizes, folded v/s non-folded …
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Hands in action: from 4D reconstruction to animation and robotics
… 2D information, such as segmentation masks and keypoints, can be estimated effectively from videos using large vision models, (2) 3D shape priors can be extracted from lab & synthetic sources and combined with 2D masks & keypoints for 3D reconstruction. Using the data generated from these …
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Exploring the Role of Foundation Models for Training Generalist Robot Learning Policies
… explore using privileged representations such as keypoints or object-poses learned using open-set foundation models. By tracking pose or keypoint correspondences, the aim is to minimize the required number of demonstrations to achieve task completion and improve generalization within classes of …
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Advancing 6DoF Object Pose Estimation: Keypoint Voting, Optimal Keypoint Sampling, and Bridging the Simulation-to-real Gap
… by learning dispersed, evenly distributed keypoints. KeyGNet enhances performance across all metrics, notably increasing ADD(S) on Occlusion LINEMOD by 16.4% and closing the single-to-multiobject training gap. Finally, RKHSPose addresses the simulation-to-real domain gap through a …
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An accurate and efficient method for reconstruction of 3D faces from stereo images
… build a coarse shape estimation based on 3D keypoints, and then use a linear morphable model to efficiently match the detailed shape and texture. The features used for the fitting processes are selected with the guidance of the quantitative evaluation of a state-of-the-art reconstruction …
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Representing Unstructured Environments for Robotic Manipulation: Toward Generalization, Dexterity and Robustness
… object representation consists of 3D semantic keypoints. Existing works typically use 6 Degree-of-Freedom (DOF) poses to represent the manipulated objects. However, representing an object with a parameterized transformation defined on a fixed template cannot handle large shape mismatches among …
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Towards Multi-Person 3D Pose Estimation in Natural Videos
… the case of an occluded or inaccurate 2D torso keypoints, which makes torso-first estimation in H3DHPE unreliable. An effective method to directly estimate limb poses without building upon the estimated torso pose is proposed, and the torso pose can then be further refined to form the hierarchy …
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Online Structured Learning for Real-Time Computer Vision Gaming Applications
… We take the traditional pipeline of matching keypoints followed by geometric verication and show how this can be embedded into a structured learning framework in order to provide principled adaptivity to a given environment. We also propose an approximation method allowing us to take advantage …
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Biometric Person Identification Using Near-infrared Hand-dorsa Vein Images
… with several new approaches based on keypoints and local binary patterns (LBP) proposed. Through comprehensive comparison with other approaches based on structure and texture features as well as performance evaluation using the database created with 2040 images, the proposed approach …
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