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[PDF] Top 20 PhD Forum: Camera Pose Estimation Suitable for Smart Cameras

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PhD Forum: Camera Pose Estimation Suitable for Smart Cameras

PhD Forum: Camera Pose Estimation Suitable for Smart Cameras

... ABSTRACT Camera pose estimation across video sequences is an impor- tant issue under several computer vision ...dences for two consecutive frames from a video ...constraint. For ... Voir le document complet

4

Dense Feature Matching Core for FPGA-based Smart Cameras

Dense Feature Matching Core for FPGA-based Smart Cameras

... Performance for real world applications We implement our feature-matching algorithm in a monocular- SLAM ...and camera pose along the video ...improved. For our FPGA architecture, we consider ... Voir le document complet

9

PhD Forum: GPU-based Visual Odometry for Autonomous Vehicle Applications

PhD Forum: GPU-based Visual Odometry for Autonomous Vehicle Applications

... is camera pose estimation under video ...several camera pose estimations approaches have been developed and several algorithms have been ...applications. For real-time embedded ... Voir le document complet

3

Visual servoing and pose estimation with cameras obeying the unified model

Visual servoing and pose estimation with cameras obeying the unified model

... the pose estimation problem. There are many applications of pose estimation, where the 6 parameters of the camera pose have to be calculated from known correspondences with known ... Voir le document complet

22

On building a CNN-based multi-view smart camera for real-time object detection

On building a CNN-based multi-view smart camera for real-time object detection

... The resulting smart camera is able to accelerate the first layer of this CNN in real time (i.e 30 fps) with a sensor base clock at 53MHz. Images of the Model- 460 Net40 dataset are injected into the ... Voir le document complet

33

Benchmarking convolutional neural networks for object segmentation and pose estimation

Benchmarking convolutional neural networks for object segmentation and pose estimation

... removal of the fully-connected layers from the network architecture. This results in SegNet consisting of only 13 encoder layers, and a corresponding decoder layer for each encoder layer, for a total of 13 ... Voir le document complet

60

Robot Control using Monocular Pose Estimation

Robot Control using Monocular Pose Estimation

... The reader will nd in the following references an overview of the dierent kinds of approach 3], 7], 8], 14], 15], 17], 18], 26]. If up to a recent time, the computing time of such algorithms was prohibity to implement ... Voir le document complet

13

A deeper look at hand pose estimation

A deeper look at hand pose estimation

... hand pose recognizers have a few limitations. Pose detection techniques are overly reliant on their training datasets, but collecting a comprehensive training dataset with various backgrounds is a ... Voir le document complet

79

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

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

... uniform. For example, objects closer to the sensor will generate more return than further ...the pose likelihood (3) may not correspond to the pose that best explains surface ... Voir le document complet

14

Smart range finder and camera fusion - Application to real-time dense digital elevation map estimation

Smart range finder and camera fusion - Application to real-time dense digital elevation map estimation

... (e-mail:christophe.debain@cemagref.fr) **LASMEA - UMR 6602, 24, avenue des Landais, 63177 Aubi`ere, France Abstract—This paper is about environment perception for nav- igation system in outdoor applications. ... Voir le document complet

8

A Dataflow Object Detection System for FPGA-based Smart Camera

A Dataflow Object Detection System for FPGA-based Smart Camera

... FPGA-based smart camera ...that, for applications having to operate on the fly on video data streams, the dataflow model of computation, used jointly as a programming model and an execution model can ... Voir le document complet

19

Distributed FPGA-based smart camera architecture for computer vision applications

Distributed FPGA-based smart camera architecture for computer vision applications

... Fig. 2: FPGA logical architecture ules called RouteMatrix (Fig. 3). The processing element can be thresholding, convolution, histogram computation,... and the interconnection (RouteMatrix) can be viewed as multiplexer ... Voir le document complet

3

Determining suitable monetization approaches for mobile phone applications within the smart phones industry

Determining suitable monetization approaches for mobile phone applications within the smart phones industry

... Two new metrics, Revenue per Product View and Downloads per Product View, are proposed to evaluate application performance independent of download volume and monetization ap[r] ... Voir le document complet

46

DreamCam: A modular FPGA-based smart camera architecture

DreamCam: A modular FPGA-based smart camera architecture

... customized smart sensor based on a CMOS ...perception. For instance, in strong light the pupil contracts and becomes small, but still allows light to be cast over a large part of the retina [5] ...platform ... Voir le document complet

10

Global pose estimation and tracking for RGB-D localization and 3D mapping

Global pose estimation and tracking for RGB-D localization and 3D mapping

... proposed for guaranteeing convergence between datasets regardless of its initial ...space for finding a solution to the non-convex error ...solutions for the best ...employed for 3D ... Voir le document complet

135

Estimation linéaire de la pose tridimensionnelle d'un visage et de ses actions faciales

Estimation linéaire de la pose tridimensionnelle d'un visage et de ses actions faciales

... methods for dimensionality reduction is Principal Component Analysis (PCA) which deals with one data space and identifies directions of high ...PCA for dimensionality reduction and then trying to find the ... Voir le document complet

175

Pose estimation and feature tracking for robot assisted surgery with medical imaging

Pose estimation and feature tracking for robot assisted surgery with medical imaging

... some pose estimation problems by means of intra-operative ...views for assisted la- paroscopy and CT images slices with X-ray scanners for the image guidance in inter- ventional ...radiology. ... Voir le document complet

24

Evaluation of CNN-Based Human Pose Estimation for Body Segment Lengths Assessment

Evaluation of CNN-Based Human Pose Estimation for Body Segment Lengths Assessment

... Table 4. Quantitative results on the MPII dataset using the PCKh@0.5 metric. ankle Knee hip elbow wrist Bulat et al., 2017 [13] 64.0 70.5 79.1 78.8 71.5 Rafi et al., 2016 [14] 73.4 80.6 86.8 86.4 81.3 Belagiannis et al., ... Voir le document complet

12

Complex objects pose estimation based on image moment invariants

Complex objects pose estimation based on image moment invariants

... Terms— Pose estimation, moment ...the pose between a known object and a camera using an image of this ...object. Pose estimation has many application in robotics, such as robot ... Voir le document complet

7

3D pose estimation and segmentation using specular cues

3D pose estimation and segmentation using specular cues

... 3D pose and location of the object, which makes the resultant synthetic specular features well matched to the features in the real input ...coarse pose, which is further refined using optimization ... Voir le document complet

9

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