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Felipe Torres

Multi-modal computational photography and videography

Doctoral Student

Currently, mobile devices are equipped with multiple cameras, inertial measurement units (IMU), and even Time-of-Flight (ToF) depth sensors. Data captured by different sensors might allow us to better constraint the ill-posed nature of several computational photography problems. This project aims at developing computational photography and videography methods that fuse the multi-modal data and incorporate information from computer vision cues such as depth and semantics.

Academic supervisor
Joni Kämäräinen
Industry partner
Samu Koskinen

Huawei

Currently, mobile devices are equipped with multiple cameras, inertial measurement units (IMU), and even Time-of-Flight (ToF) depth sensors. Data captured by different sensors might allow us to better constraint the ill-posed nature of several computational photography problems. This project aims at developing computational photography and videography methods that fuse the multi-modal data and incorporate information from computer vision cues such as depth and semantics.

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