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Found 10 papers, 1 papers with code
Real-time 6-DoF Pose Estimation by an Event-based Camera using Active LED Markers
Experimental results in static and dynamic scenarios are presented to demonstrate the performance of the proposed approach in terms of computational speed and absolute accuracy, using the OptiTrack system as the basis for measurement.
A CNN Based Approach for the Point-Light Photometric Stereo Problem
Reconstructing the 3D shape of an object using several images under different light sources is a very challenging task, especially when realistic assumptions such as light propagation and attenuation, perspective viewing geometry and specular light reflection are considered.
Graph Convolutional Memory using Topological Priors
Solving partially-observable Markov decision processes (POMDPs) is critical when applying reinforcement learning to real-world problems, where agents have an incomplete view of the world.
LUCES: A Dataset for Near-Field Point Light Source Photometric Stereo
In order to fill the gap in evaluating near-field photometric stereo methods, we introduce LUCES the first real-world 'dataset for near-fieLd point light soUrCe photomEtric Stereo' of 14 objects of a varying of materials.
A CNN Based Approach for the Near-Field Photometric Stereo Problem
Secondly, we compute the depth by integrating the normal field in order to iteratively estimate light directions and attenuation which is used to compensate the input images to compute reflectance samples for the next iteration.
Embodied Visual Navigation with Automatic Curriculum Learning in Real Environments
We present NavACL, a method of automatic curriculum learning tailored to the navigation task.
PX-NET: Simple and Efficient Pixel-Wise Training of Photometric Stereo Networks
We show that global physical effects can be approximated on the observation map domain and this simplifies and speeds up the data creation procedure.
A Differential Volumetric Approach to Multi-View Photometric Stereo
In this work, we present a volumetric approach to the multi-view photometric stereo problem.
Semi-Calibrated Near Field Photometric Stereo
3D reconstruction from shading information through Photometric Stereo is considered a very challenging problem in Computer Vision.
Unbiased Photometric Stereo for Colored Surfaces: A Variational Approach
3D shape recovery using photometric stereo (PS) gained increasing attention in the computer vision community in the last three decades due to its ability to recover the thinnest geometric structures.
