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Found 20 papers, 4 papers with code
Oriented-grid Encoder for 3D Implicit Representations
Compared to the use of regular grids, our geometric encoder is shown to converge in fewer steps and obtain sharper 3D surfaces.
Robust Frame-to-Frame Camera Rotation Estimation in Crowded Scenes
We present an approach to estimating camera rotation in crowded, real-world scenes from handheld monocular video.
BANSAC: A dynamic BAyesian Network for adaptive SAmple Consensus
This paper presents a new adaptive sampling process for RANSAC.
A Unified Model for Line Projections in Catadioptric Cameras With Rotationally Symmetric Mirrors
Lines are among the most used computer vision features, in applications such as camera calibration to object detection.
Mapping of Sparse 3D Data using Alternating Projection
We propose a novel technique to register sparse 3D scans in the absence of texture.
Active Depth Estimation: Stability Analysis and its Applications
Recovering the 3D structure of the surrounding environment is an essential task in any vision-controlled Structure-from-Motion (SfM) scheme.
A Framework for Depth Estimation and Relative Localization of Ground Robots using Computer Vision
The basic idea consists in estimating the depth of the points by explicitly considering the dynamics of the camera mounted on a ground robot, and feeding the estimates of 3D points observed by both cameras in a filter that computes the relative pose between the robots.
Can generalised relative pose estimation solve sparse 3D registration?
In contrast to correspondence based methods, we take a different viewpoint and formulate the sparse 3D registration problem based on the constraints from the intersection of line segments from adjacent scans.
POSEAMM: A Unified Framework for Solving Pose Problems using an Alternating Minimization Method
Since the objective function will depend on the rotation and translation it is not possible to solve it as a simple minimization problem.
Minimal Solvers for Mini-Loop Closures in 3D Multi-Scan Alignment
3D scan registration is a classical, yet a highly useful problem in the context of 3D sensors such as Kinect and Velodyne.
3DRegNet: A Deep Neural Network for 3D Point Registration
Given a set of 3D point correspondences, we build a deep neural network to address the following two challenges: (i) classification of the point correspondences into inliers/outliers, and (ii) regression of the motion parameters that align the scans into a common reference frame.
OmniDRL: Robust Pedestrian Detection using Deep Reinforcement Learning on Omnidirectional Cameras
Pedestrian detection is one of the most explored topics in computer vision and robotics.
A Minimal Closed-Form Solution for Multi-Perspective Pose Estimation using Points and Lines
We show that the solution for the case of two points and one line can be formulated as a fourth degree equation.
Analytical Modeling of Vanishing Points and Curves in Catadioptric Cameras
Vanishing points and vanishing lines are classical geometrical concepts in perspective cameras that have a lineage dating back to 3 centuries.
3D Reconstruction with Low Resolution, Small Baseline and High Radial Distortion Stereo Images
The approaches tested were based on the use of the polynomial model of radial distortion, and on the application of the division model.
On the Generalized Essential Matrix Correction: An efficient solution to the problem and its applications
This paper addresses the problem of finding the closest generalized essential matrix from a given $6\times 6$ matrix, with respect to the Frobenius norm.
Efficient and Robust Pedestrian Detection using Deep Learning for Human-Aware Navigation
This paper addresses the problem of Human-Aware Navigation (HAN), using multi camera sensors to implement a vision-based person tracking system.
A Real-Time Deep Learning Pedestrian Detector for Robot Navigation
A real-time Deep Learning based method for Pedestrian Detection (PD) is applied to the Human-Aware robot navigation problem.
Non-Central Catadioptric Cameras Pose Estimation using 3D Lines
This method is based on an analytic solution (which we derived) for the projection of 3D straight lines, onto the mirror of Non-Central Catadioptric Cameras (NCCS).
Plücker Correction Problem: Analysis and Improvements in Efficiency
A given six dimensional vector represents a 3D straight line in Plucker coordinates if its coordinates satisfy the Klein quadric constraint.
