Wearable Visual Information Systems (VINST)

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Presentation transcript:

Wearable Visual Information Systems (VINST)

KTH Lund University Computer Vision Mathematical Imaging Processing of images from wearable cameras for: Localization and way finding Locating everyday objects Action memory assistance Constructing visual diaries …………..

Visual information , communication networks and databases Wearable Camera Internet Where am I ? What is this ? Who is this ? Personalized memory Visual Information

Where am I ? Image database (e.g. panoramas) User’s image User’s location

Who is this ? Start up companies Lund  Polar Rose KTH  OcculusAI

What is this ?

State of the art Handwritten recognition 95 – 98% License plates General 3D objects 50 - 75% Handwritten recognition 95 – 98% Frontal face recognition 98 – 99% License plates Human performance Specific views 3D objects 95 – 98 %

Visual memory for manipulation

Visual memory from repeated daily activities Day 1 Day 2 Registration and novelty detection from daily repeated visual input Day 31

Understanding visual memory organization What, where, who, when ?