Wearable Visual Information Systems (VINST) KTH/Lund University Recognition and Localization and classification map building To be demonstrated on data collected from wearable cameras System demonstrators Visual diaries Localization and map building Where was this image taken? Lund University / Centre for Mathematical Sciences/ Mathematical Imaging Group Lund: Localization and map-building Map building and 3D reconstruction (Offline) Matching images to model and estimating position and orientation (Online) Visual 3D industry 3D Maps Games The VINST project in the context of national and international industrial activities VINST project KTH ● Omid Aghazadeh ● Miroslav Kobetski ● Magnus Burenius ● Vahid Kazemi ● Oscar Danielsson Swedish Industry ● ● ● ● Lund ● Jan Erik Solem (lec.) ● Yubin Kuang ● Klas Josephsson ● Martin Byröd ● ● ● KTH startups 13:th lab Volumental Lund startups Polar Rose Mapillary Hövding Other Swedish C3 Tobii Technology The VINST project in the context of national and international industrial activities VINST project KTH ● Omid Aghazadeh ● Miroslav Kobetski ● Magnus Burenius ● Vahid Kazemi ● Oscar Danielsson Swedish Industry ● ● ● ● ● ● ● ● Lund ● Jan Erik Solem (lec.) ● Yubin Kuang ● Klas Josephsson ● Martin Byröd KTH startups 13:th lab Volumental International Industry ● ● ● Lund startups Polar Rose Mapillary Hövding Other Swedish C3 Tobii Technology Occulus Rift Apple maps Apple Google Research Labs The VINST project in the context of national and international industrial activities VINST project KTH ● Omid Aghazadeh ● Miroslav Kobetski ● Magnus Burenius ● Vahid Kazemi ● Oscar Danielsson Swedish Industry ● ● ● ● ● ● ● ● Lund ● Jan Erik Solem (lec.) ● Yubin Kuang ● Klas Josephsson ● Martin Byröd KTH startups 13:th lab Volumental International Industry ● ● ● Lund startups Polar Rose Mapillary Hövding Other Swedish C3 Tobii Technology Occulus Rift Apple maps Apple Google Research Labs Jan Erik Solem (lec.) Visual classification Deep Learning Deep learning has emerged as a major tool in the field of machine learning . For the problem of visual classification it has boosted performance substantially in the last two years. Deep Learning Deep learning has emerged as a major tool in the field of machine learning . For the problem of visual classification it has boosted performance substantially in the last two years. Deep learning means that the algorithm for extracting information from data is learnt by providing large sets of annotated examples Deep Learning Deep learning has emerged as a major tool in the field of machine learning . For the problem of visual classification it has boosted performance substantially in the last two years. Deep learning means that the algorithm for extracting information from data is learnt by providing large sets of annotated examples Training Multi Layer Convolutional Network with 60 Million parameters Imagenet database One million images collected and annotated from internet Annotated output Object recognition performance V KTH activities
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