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[PDF] Top 20 Object shape recognition using electric sense and ellipsoid's polarization tensor

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Object shape recognition using electric sense and ellipsoid's polarization tensor

Object shape recognition using electric sense and ellipsoid's polarization tensor

... water and confined or post catastrophic ...vision and sonar are not efficient enough for trajectory control or ...the electric sense, a way of environ- ment perception used by some fish which ... Voir le document complet

9

Model based estimation of ellipsoidal object using artificial electric sense.

Model based estimation of ellipsoidal object using artificial electric sense.

... Conclusion and perspectives for future research Based on a model of the measurements of a sensor providing the electric currents that flow across a set of electrodes arranged along a slender body, we have ... Voir le document complet

32

A purely model-based approach to object pose and size estimation with electric sense

A purely model-based approach to object pose and size estimation with electric sense

... interpret and the light absorption or scattering reduces dras- tically the performances of vision ...[7], object electrolo- cation [8], [9] or underwater docking ...based object recognition, ... Voir le document complet

11

Model based object localization and shape estimation using electric sense on underwater robots

Model based object localization and shape estimation using electric sense on underwater robots

... localizing and estimating the shape of an object using active electric ...static object and 1 robot moving along a trajectory (from T (0) to T (n)) and at a ... Voir le document complet

9

Combining Shape Analysis and Texture Pattern for Palmprint Recognition

Combining Shape Analysis and Texture Pattern for Palmprint Recognition

... CASIA and the IITDelhi datasets involving the scale variations, the direction and posture ...graylevel and JPEG ...left and right ...ages using a CMOS camera fixed on the top of the ... Voir le document complet

29

Human-Object Interaction Recognition by Learning the distances between the Object and the Skeleton Joints

Human-Object Interaction Recognition by Learning the distances between the Object and the Skeleton Joints

... INTRODUCTION AND RELATED WORK ...gesture recognition, smart surveillance, web-video search and retrieval, quality- of-life devices for elderly people, and human-computer inter- ...people ... Voir le document complet

7

High-efficiency and broadband photonic polarization rotator based on multilevel shape optimization

High-efficiency and broadband photonic polarization rotator based on multilevel shape optimization

... two-levels polarization rotators from 2 µm to 6 µm in ...level) and blue (top ...Canada) and RSoft Photonics using 3D- FDTD as well as Comsol Multiphysics (COMSOL AB, Stock- holm, Sweden) ... Voir le document complet

5

Shape recognition for image scene analysis

Shape recognition for image scene analysis

... weak shape information, essentially smoothness, but can in principle detect multiple (al- though not overlapping) objects using the level set representation [Osher and Fedkiw, 2003, Sethian, ...the ... Voir le document complet

152

Continuous Surface-point Distributions for 3D Object Pose Estimation and Recognition

Continuous Surface-point Distributions for 3D Object Pose Estimation and Recognition

... order of 5000. Simulated annealing does not guarantee convergence to the global maximum of p(w). Hence, we run several chains in parallel and eventually select the best estimate. The model presented above is ... Voir le document complet

14

Non-Mercer Kernels for SVM Object Recognition

Non-Mercer Kernels for SVM Object Recognition

... same object, each image being represented by a set of local fea- tures X and X 0 , occlusion may remove several points of interest in one or in the other ...X and X 0 ...explosion, and thus ... Voir le document complet

10

Multi-object shape estimation and tracking from silhouette cues

Multi-object shape estimation and tracking from silhouette cues

... silhouettes, and occlusion information and object localization priors are used to update the represen- tation iteratively so as to refine the resulting ...obtained using this approach yield ... Voir le document complet

9

Comparison of Object Recognition Behavior in Human and Monkey

Comparison of Object Recognition Behavior in Human and Monkey

... core object recogni- tion ...foreground object in each presented image, from two given ...image and all 276 tasks were interleaved randomly (trial-by-trial), sub- jects could not deploy feature ... Voir le document complet

11

Human shape modelling for carried object detection and segmentation

Human shape modelling for carried object detection and segmentation

... classifier and search around a person body to detect ...bag and backpack using their geometrical shape cues ...axis using Support Vector Machine (SVM) to classify backpacks and ... Voir le document complet

126

System-Level Modeling, Analysis and Code Generation: Object Recognition Case Study

System-Level Modeling, Analysis and Code Generation: Object Recognition Case Study

... methods and tools for modeling and analyzing the behavior of application software running on multi-processor ...systematic and compositional construction of mixed software/hardware system ...analysis ... Voir le document complet

10

Quaternion Bessel-Fourier moments and their invariant descriptors for object reconstruction and recognition

Quaternion Bessel-Fourier moments and their invariant descriptors for object reconstruction and recognition

... [20] and quaternion orthogonal Fourier-Mellin moments (QOFMMs) is shown in ...by using any one of four quaternion moments, where the moment orders are from 3 to 57 with an increment 3, resulting in total ... Voir le document complet

23

Quaternion Zernike moments and their invariants for color image analysis and object recognition

Quaternion Zernike moments and their invariants for color image analysis and object recognition

... pattern recognition [1], [2], scene matching [3] and object classification [4] owing to their image description capability and invariance ...same shape but different color (red, green, ... Voir le document complet

14

Density-Based Shape Descriptors and Similarity Learning for 3D Object Retrieval

Density-Based Shape Descriptors and Similarity Learning for 3D Object Retrieval

... descriptor using SHT. The method requires the 3D object to be voxelized in a binary ...grid and (θ, φ) to spherical ...R and angles (θ, ...SH-transformed and the energies contained in ... Voir le document complet

162

Simulated prosthetic vision: The benefits from computer-based object recognition and localization

Simulated prosthetic vision: The benefits from computer-based object recognition and localization

... cortex and most of the development efforts are targeting these struc- ...sulcus and the peripheral part of the visual field extends externally to the sulcus, on the posterior pole of the occipital lobe, ... Voir le document complet

13

Covariant Conics Decomposition of Quartics for 2D Object 
Recognition and Affine Alignment

Covariant Conics Decomposition of Quartics for 2D Object Recognition and Affine Alignment

... invariants and terms that determine an intrinsic coordinate ...alignment and recognition of 2D shapes under affine ...model-based, and every shape is first fit by an implicit fourth ... Voir le document complet

5

Integration of Shape Context and Neural Networks for Symbol Recognition

Integration of Shape Context and Neural Networks for Symbol Recognition

... ABSTRACT. Using shape matching within a k–nearest neighbor approach, shape context descrip- tor has been applied in several classification problems with outstanding ...of shape context as in- ... Voir le document complet

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