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Found 8 papers, 0 papers with code
IFFNeRF: Initialisation Free and Fast 6DoF pose estimation from a single image and a NeRF model
We introduce IFFNeRF to estimate the six degrees-of-freedom (6DoF) camera pose of a given image, building on the Neural Radiance Fields (NeRF) formulation.
LIGHTS: LIGHT Specularity Dataset for specular detection in Multi-view
Therefore, we propose a novel physically-based rendered LIGHT Specularity (LIGHTS) Dataset for the evaluation of the specular highlight detection task.
An integrated light management system with real-time light measurement and human perception
Illumination is important for well-being, productivity and safety across several environments, including offices, retail shops and industrial warehouses.
Human-centric light sensing and estimation from RGBD images: The invisible light switch
ILS may therefore dim those luminaires, which are not seen by the user, resulting in an effective energy saving, especially in large open offices (where light may otherwise be ON everywhere for a single person).
Forecasting People Trajectories and Head Poses by Jointly Reasoning on Tracklets and Vislets
In this work, we explore the correlation between people trajectories and their head orientations.
RGBD2lux: Dense light intensity estimation with an RGBD sensor
The proposed method uses both depth data and images from the sensor to provide a dense measure of light intensity in the field of view of the camera.
MX-LSTM: mixing tracklets and vislets to jointly forecast trajectories and head poses
Recent approaches on trajectory forecasting use tracklets to predict the future positions of pedestrians exploiting Long Short Term Memory (LSTM) architectures.
“Seeing is Believing”: Pedestrian Trajectory Forecasting Using Visual Frustum of Attention
In this paper we show the importance of the head pose estimation in the task of trajectory forecasting.
