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Found 13 papers, 1 papers with code
Using Perspective-n-Point Algorithms for a Local Positioning System Based on LEDs and a QADA Receiver
This work investigates the use of different state-of-the-art PnP algorithms to localize the receiver in a large space based on four co-planar transmitters and with a distance from transmitters to receiver of 3. 4 m. Encoding techniques are used to permit the simultaneous emission of all the transmitted signals and their processing in the receiver.
Robust Isometric Non-Rigid Structure-from-Motion
Step 1 computes the optical flow from correspondences, step 2 reconstructs each 3D point's normal vector using multiple reference images and integrates them to form surfaces with the best reference and step 3 rejects the 3D points that break isometry in their local neighborhood.
Towards Dense People Detection with Deep Learning and Depth images
This paper proposes a DNN-based system that detects multiple people from a single depth image.
Towards Domain Independence in CNN-based Acoustic Localization using Deep Cross Correlations
Time delay estimation is essential in Acoustic Source Localization (ASL) systems.
DPDnet: A Robust People Detector using Deep Learning with an Overhead Depth Camera
In this paper we propose a method based on deep learning that detects multiple people from a single overhead depth image with high reliability.
Deep Shape-from-Template: Wide-Baseline, Dense and Fast Registration and Deformable Reconstruction from a Single Image
Compared to previous non-DNN SfT methods, it does not involve numerical optimization at run-time, and is a dense, wide-baseline solution that does not demand, and does not suffer from, feature-based matching.
Self-Calibrating Isometric Non-Rigid Structure-from-Motion
We present self-calibrating isometric non-rigid structure- from-motion (SCIso-NRSfM), the first method to reconstruct a non-rigid object from at least three monocular images with constant but unknown focal length.
Solutions of Quadratic First-Order ODEs applied to Computer Vision Problems
It is an important problem as it does not need initial conditions to obtain the unique solution and its the frequent solution that practical algorithms of the state-of-the-art give.
Inextensible Non-Rigid Shape-From-Motion by Second-Order Cone Programming
We show for the first time how to construct a Second-Order Cone Programming (SOCP) problem for Non-Rigid Shape-from-Motion (NRSfM) using the Maximum-Depth Heuristic (MDH).
Isometric Non-Rigid Shape-From-Motion in Linear Time
We study Isometric Non-Rigid Shape-from-Motion (Iso-NRSfM): given multiple intrinsically calibrated monocular images, we want to reconstruct the time-varying 3D shape of an object undergoing isometric deformations.
As-Rigid-As-Possible Volumetric Shape-From-Template
Volumetric SfT uses the object's full volume to express the deformation constraints and reconstructs the object's surface and interior deformation.
Shape-From-Template in Flatland
We focus on isometric deformations, for which 2DSfT is a well-posed problem, and admits an analytical local solution which may be used to initialize nonconvex refinement.
Stable Template-Based Isometric 3D Reconstruction in All Imaging Conditions by Linear Least-Squares
It has been recently shown that reconstructing an isometric surface from a single 2D input image matched to a 3D template was a well-posed problem.
