HeadFusion: 360 degrees Head Pose Tracking Combining 3D Morphable Model and 3D Reconstruction

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Accurately estimating 3D human pose (3D HPE) and joint locations using only 2D keypoints is challenging. The noise in the predictions produced by conventional 2D human pose estimators often impeded the accuracy. In this paper, we present a diffusion-based ...

Saliency models are image-based prediction models that estimate human visual attention. Such models, when applied to architectural spaces, could pave the way for design decisions where visual attention is taken into account. In this study, we tested the pe ...

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We present a pipeline for the automatic generation of digital twins of free-standing buildings for damage assessment. Our method takes multiple view images of the target building as input and processes them to produce a 3D model in levels of detail (LOD) f ...

LiftPose3D infers three-dimensional poses from two-dimensional data or from limited three-dimensional data. The approach is illustrated for videos of behaving Drosophila, mice, rats and macaques. ...

Non-verbal behaviours play an important role in human communication since it can indicate human attention, serve as communication cue in interactions, or even reveal higher level personal constructs. For instance, head nod, a common non-verbal behaviour, c ...

Triangulation is an important task in the 3D reconstruction of computer vision. It seems simple to find the position of a point in 3D space when its 2D perspective projections in multi-view images are given and the corresponding camera projection matrices ...

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Estimating the 3D poses of rigid and articulated bodies is one of the fundamental problems of Computer Vision. It has a broad range of applications including augmented reality, surveillance, animation and human-computer interaction. Despite the ever-growin ...

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Background Electrical impedance tomography (EIT) is used on the thorax to measure impedance changes due to the presence of air and blood in the lung. This experimental study was performed to investigate the effect of posture on cardiac and respiratory rela ...

We propose an approach for on-line detection of small Unmanned Aerial Vehicles (UAVs) and estimation of their relative positions and velocities in the 3D environment from a single moving camera in the context of sense and avoid systems. This problem is cha ...

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Terrestrial imagery found in public databases is an alternative and complementary data source for environmental studies. Compared to usual data source, such as airborne images, terrestrial pictures may have higher temporal and spatial resolutions. They are ...

HeadFusion: 360 degrees Head Pose Tracking Combining 3D Morphable Model and 3D Reconstruction

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Diff3DHPE: A Diffusion Model for 3D Human Pose Estimation

Saliency prediction in 360° architectural scenes: Performance and impact of daylight variations

3D reconstruction of curvilinear one-dimensional objects viewed in transmission electron microscopy

2.5 Hz sample rate time-domain near-infrared optical tomography based on SPAD-camera image tissue hemodynamics

Digital twins for post-earthquake damage assessment of free-standing buildings including damage information

LiftPose3D, a deep learning-based approach for transforming two-dimensional to three-dimensional poses in laboratory animals

Accurate Nod and 3D Gaze Estimation for Social Interaction Analysis

Multi-View Triangulation: Systematic Comparison and an Improved Method

Neural Scene Decomposition for Multi-Person Motion Capture

Learning Robust Features and Latent Representations for Single View 3D Pose Estimation of Humans and Objects

Learning-Based Compressive MRI

Learning to Reconstruct Texture-less Deformable Surfaces from a Single View

3D Bpconvnet To Reconstruct Parallel Mri

Learning to Reconstruct Texture-less Deformable Surfaces from a Single View

Flight Dynamics-based Recovery of a UAV Trajectory using Ground Cameras

Physics-based Reconstruction and Animation of Humans

Electrical impedance tomography: Amplitudes of cardiac related impedance changes in the lung are highly position dependent

Vision-Based Unmanned Aerial Vehicle Detection and Tracking for Sense and Avoid Systems

A Combined Approach Toward Consistent Reconstructions of Indoor Spaces Based on 6D RGB-D Odometry and KinectFusion

Registration of single landscape photographs with 3D landscape models