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Found 8 papers, 1 papers with code
Survey of 3D Human Body Pose and Shape Estimation Methods for Contemporary Dance Applications
3D human body shape and pose estimation from RGB images is a challenging problem with potential applications in augmented/virtual reality, healthcare and fitness technology and virtual retail.
Rule-Based Classification of Hyperspectral Imaging Data
Due to its high spatial and spectral information content, hyperspectral imaging opens up new possibilities for a better understanding of data and scenes in a wide variety of applications.
Deep Learning for Material recognition: most recent advances and open challenges
Recognizing material from color images is still a challenging problem today.
Deep Spectral Reflectance and Illuminant Estimation from Self-Interreflections
In this work, we propose a CNN-based approach to estimate the spectral reflectance of a surface and the spectral power distribution of the light from a single RGB image of a V-shaped surface.
Spectral reflectance estimation from one RGB image using self-interreflections in a concave object
Light interreflections occurring in a concave object generate a color gradient which is characteristic of the object's spectral reflectance.
Residual Conv-Deconv Grid Network for Semantic Segmentation
However, for semantic image segmentation, where the task consists in providing a semantic class to each pixel of an image, feature maps reduction is harmful because it leads to a resolution loss in the output prediction.
Autonomous navigation for low-altitude UAVs in urban areas
In recent years, consumer Unmanned Aerial Vehicles have become very popular, everyone can buy and fly a drone without previous experience, which raises concern in regards to regulations and public safety.
Data Fusion of Objects Using Techniques Such as Laser Scanning, Structured Light and Photogrammetry for Cultural Heritage Applications
In this paper we present a semi-automatic 2D-3D local registration pipeline capable of coloring 3D models obtained from 3D scanners by using uncalibrated images.
