18 citations · 28 across the 20 of their papers we have counts for
21 papers · 1 filter
FLIGHT: Fibonacci Lattice-based Inference for Geometric Heading in real-Time
David Dirnfeld, Fabien Delattre, Pedro Miraldo +1
Estimating camera motion from monocular video is a fundamental problem in computer vision, central to tasks such as SLAM, visual odometry, and structure-from-motion. Existing metho…
LASER: Layer-wise Scale Alignment for Training-Free Streaming 4D Reconstruction
Tianye Ding, Yiming Xie, Yiqing Liang +3
Recent feed-forward reconstruction models like VGGT and achieve impressive reconstruction quality but cannot process streaming videos due to quadratic memory complexity, limi…
RAPTR: Radar-based 3D Pose Estimation using Transformer
Sorachi Kato, Ryoma Yataka, Pu Perry Wang +3
Radar-based indoor 3D human pose estimation typically relied on fine-grained 3D keypoint labels, which are costly to obtain especially in complex indoor settings involving clutter,…
SurfR: Surface Reconstruction with Multi-scale Attention
Siddhant Ranade, Gonçalo Dias Pais, Ross Tyler Whitaker +3
We propose a fast and accurate surface reconstruction algorithm for unorganized point clouds using an implicit representation. Recent learning methods are either single-object repr…
A Probability-guided Sampler for Neural Implicit Surface Rendering
Gonçalo Dias Pais, Valter Piedade, Moitreya Chatterjee +2
Several variants of Neural Radiance Fields (NeRFs) have significantly improved the accuracy of synthesized images and surface reconstruction of 3D scenes/objects. In all of these m…
FreBIS: Frequency-Based Stratification for Neural Implicit Surface Representations
Naoko Sawada, Pedro Miraldo, Suhas Lohit +2
Neural implicit surface representation techniques are in high demand for advancing technologies in augmented reality/virtual reality, digital twins, autonomous navigation, and many…
Gear-NeRF: Free-Viewpoint Rendering and Tracking with Motion-aware Spatio-Temporal Sampling
Xinhang Liu, Yu-Wing Tai, Chi-Keung Tang +3
Extensions of Neural Radiance Fields (NeRFs) to model dynamic scenes have enabled their near photo-realistic, free-viewpoint rendering. Although these methods have shown some poten…
Oriented-grid Encoder for 3D Implicit Representations
Arihant Gaur, G. Dias Pais, Pedro Miraldo
Encoding 3D points is one of the primary steps in learning-based implicit scene representation. Using features that gather information from neighbors with multi-resolution grids ha…
BANSAC: A dynamic BAyesian Network for adaptive SAmple Consensus
Valter Piedade, Pedro Miraldo
RANSAC-based algorithms are the standard techniques for robust estimation in computer vision. These algorithms are iterative and computationally expensive; they alternate between r…
Robust Frame-to-Frame Camera Rotation Estimation in Crowded Scenes
Fabien Delattre, David Dirnfeld, Phat Nguyen +4
We present an approach to estimating camera rotation in crowded, real-world scenes from handheld monocular video. While camera rotation estimation is a well-studied problem, no pre…
Mapping of Sparse 3D Data using Alternating Projection
Siddhant Ranade, Xin Yu, Shantnu Kakkar +2
We propose a novel technique to register sparse 3D scans in the absence of texture. While existing methods such as KinectFusion or Iterative Closest Points (ICP) heavily rely on de…
Can generalised relative pose estimation solve sparse 3D registration?
Siddhant Ranade, Xin Yu, Shantnu Kakkar +2
Popular 3D scan registration projects, such as Stanford digital Michelangelo or KinectFusion, exploit the high-resolution sensor data for scan alignment. It is particularly challen…
POSEAMM: A Unified Framework for Solving Pose Problems using an Alternating Minimization Method
Joao Campos, Joao R. Cardoso, Pedro Miraldo
Pose estimation is one of the most important problems in computer vision. It can be divided in two different categories -- absolute and relative -- and may involve two different ty…
Minimal Solvers for Mini-Loop Closures in 3D Multi-Scan Alignment
Pedro Miraldo, Surojit Saha, Srikumar Ramalingam
3D scan registration is a classical, yet a highly useful problem in the context of 3D sensors such as Kinect and Velodyne. While there are several existing methods, the techniques…
3DRegNet: A Deep Neural Network for 3D Point Registration
G. Dias Pais, Srikumar Ramalingam, Venu Madhav Govindu +3
We present 3DRegNet, a novel deep learning architecture for the registration of 3D scans. Given a set of 3D point correspondences, we build a deep neural network to address the fol…
OmniDRL: Robust Pedestrian Detection using Deep Reinforcement Learning on Omnidirectional Cameras
G. Dias Pais, Tiago J. Dias, Jacinto C. Nascimento +1
Pedestrian detection is one of the most explored topics in computer vision and robotics. The use of deep learning methods allowed the development of new and highly competitive algo…
A Minimal Closed-Form Solution for Multi-Perspective Pose Estimation using Points and Lines
Pedro Miraldo, Tiago Dias, Srikumar Ramalingam
We propose a minimal solution for pose estimation using both points and lines for a multi-perspective camera. In this paper, we treat the multi-perspective camera as a collection o…
Analytical Modeling of Vanishing Points and Curves in Catadioptric Cameras
Pedro Miraldo, Francisco Eiras, Srikumar Ramalingam
Vanishing points and vanishing lines are classical geometrical concepts in perspective cameras that have a lineage dating back to 3 centuries. A vanishing point is a point on the i…
3D Reconstruction with Low Resolution, Small Baseline and High Radial Distortion Stereo Images
Tiago Dias, Helder Araujo, Pedro Miraldo
In this paper we analyze and compare approaches for 3D reconstruction from low-resolution (250x250), high radial distortion stereo images, which are acquired with small baseline (a…
On the Generalized Essential Matrix Correction: An efficient solution to the problem and its applications
Pedro Miraldo, Joao R. Cardoso
This paper addresses the problem of finding the closest generalized essential matrix from a given matrix, with respect to the Frobenius norm. To the best of our knowled…
Plücker Correction Problem: Analysis and Improvements in Efficiency
João R. Cardoso, Pedro Miraldo, Helder Araujo
A given six dimensional vector represents a 3D straight line in Plucker coordinates if its coordinates satisfy the Klein quadric constraint. In many problems aiming to find the Pl…