Publications associées à Péritel

Deep Semantic Segmentation Using Nir As Extra Physical Information

Sabine Süsstrunk, Siavash Arjomand Bigdeli

Deep neural networks for semantic segmentation are most often trained with RGB color images, which encode the radiation visible to the human eyes. In this paper, we study if additional physical scene information, specifically Near-Infrared (NIR) images, im ...

IEEE2019

A Deep Learning Approach for Robust Head Pose Independent Eye Movements Recognition from Videos

Jean-Marc Odobez, Rémy Alain Siegfried, Yu Yu

Recognizing eye movements is important for gaze behavior understanding like in human communication analysis (human-human or robot interactions) or for diagnosis (medical, reading impairments). In this paper, we address this task using remote RGB-D sensors ...

ACM2019

SPA: Sparse Photorealistic Animation Using a Single RGB-D Camera

Ronan Boulic, Eray Molla, Jingyu Yang, Kun Li

Photorealistic animation is a desirable technique for computer games and movie production. We propose a new method to synthesize plausible videos of human actors with new motions using a single cheap RGB-D camera. A small database is captured in a usual of ...

Ieee-Inst Electrical Electronics Engineers Inc2017

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

Nadia Barbara Figueroa Fernandez

We propose a 6D RGB-D odometry approach that finds the relative camera pose between consecutive RGB-D frames by keypoint extraction and feature matching both on the RGB and depth image planes. Furthermore, we feed the estimated pose to the highly accurate ...

Assoc Computing Machinery2015

3D Gaze Tracking and Automatic Gaze Coding from RGB-D Cameras

Jean-Marc Odobez, Kenneth Alberto Funes Mora

Gaze is recognised as one of the most important cues for the analysis of the cognitive behaviors of a person such as the attention displayed towards objects or people, their interactions, functionality and causality patterns. In this short paper, we presen ...

2014

Compressive Acquisition of Color and Near-Infrared Images

Sabine Süsstrunk, Yue Lu, Zahra Sadeghipoor Kermani

We propose using a single silicon sensor and a modified Bayer CFA for joint acquisition of color and near-infrared (NIR) images. Silicon sensors, which are placed in most color cameras, are inherently sensitive to NIR. Hence, our proposed design is very si ...

2014

A Novel Compressive Sensing Approach to Simultaneously Acquire Color and Near-infrared Images on a Single Sensor

Sabine Süsstrunk, Yue Lu, Zahra Sadeghipoor Kermani

Sensors of most digital cameras are made of silicon that is inherently sensitive to both the visible and near-infrared parts of the electromagnetic spectrum. In this paper, we address the problem of color and NIR joint acquisition. We propose a framework f ...

2013

GUI-Aided NIR and Color Image Blending

Sabine Süsstrunk, Radhakrishna Achanta, Andrea Guidi

A near-infrared (NIR) image of a scene contains different information than the corresponding visible spectrum (RGB) image, due to physical phenomena related to scattering, absorption, and reflectance of the different radiation bands. It can be desirable to ...

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Péritel

Deep Semantic Segmentation Using Nir As Extra Physical Information

A Deep Learning Approach for Robust Head Pose Independent Eye Movements Recognition from Videos

SPA: Sparse Photorealistic Animation Using a Single RGB-D Camera

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

RGB-W: When Vision Meets Wireless

3D Gaze Tracking and Automatic Gaze Coding from RGB-D Cameras

Compressive Acquisition of Color and Near-Infrared Images

A Novel Compressive Sensing Approach to Simultaneously Acquire Color and Near-infrared Images on a Single Sensor

Exploiting redundancy in color images

GUI-Aided NIR and Color Image Blending

Graph Chatbot

Chattez avec Graph Search

A Deep Learning Approach for Robust Head Pose Independent Eye Movements Recognition from Videos

SPA: Sparse Photorealistic Animation Using a Single RGB-D Camera

Compressive Acquisition of Color and Near-Infrared Images

Deep Semantic Segmentation Using Nir As Extra Physical Information

GUI-Aided NIR and Color Image Blending

3D Gaze Tracking and Automatic Gaze Coding from RGB-D Cameras

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

RGB-W: When Vision Meets Wireless

Exploiting redundancy in color images

A Novel Compressive Sensing Approach to Simultaneously Acquire Color and Near-infrared Images on a Single Sensor