Person
Neda Salamati
This person is no longer with EPFL
Related publications (9)
Incorporating Near-Infrared into Scene Understanding
Recent progress in computational photography has shown that we can acquire near-infrared (NIR) information in addition to the normal visible (RGB) information with only slight modification to the standard digital camera. In this thesis, we study if this ex ...
EPFL2013Removing Shadows from Images Using Color and Near-infrared
Sabine Süsstrunk, Neda Salamati, Arthur Germain
Shadows often introduce errors in the performance of computer vision algorithms, such as object detection and tracking. This paper proposes a method to remove shadows from real images based on a probability shadow map. The probability shadow map identifies ...
Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2011Combining Visible and Near-Infrared Cues for Image Categorisation
Standard digital cameras are sensitive to radiation in the near-infrared domain, but this additional cue is in general discarded. In this paper, we consider the scene categorisation problem in the context of images where both standard visible RGB channels ...
2011Enhancing the Visible with the Invisble: RGB plus Near-Infrared
Sabine Süsstrunk, Yue Lu, Neda Salamati, Daniel Tamburrino, Lex Schaul, Nathalie Barbuscia
Silicon-based digital camera sensors exhibit significant sensitivity beyond the visible spectrum (400-700nm). They are able to capture wavelengths up to 1100 nm, i.e., they are sensitive to near-infrared (NIR) radiation. This additional information is conv ...
2010