Sökning: "Object art"
Visar resultat 21 - 25 av 317 uppsatser innehållade orden Object art.
21. Den förtingligade utopin : Ostindiskt porslin på Kina slott; materialitet, dekoration och transkulturalism i svensk rokoko
Master-uppsats, Linnéuniversitetet/Institutionen för musik och bild (MB)Sammanfattning : This study analyzes objects of Chinese porcelain found at Kina slott located on Drottningholm just outside Stockholm from a material culture (Material Culture Studies MCS) perspective. The aim is to examine how the materiality of porcelain can generate knowledge within MCS and to shed light on how it influenced the image of the Far East in Sweden during the mid-1700s. LÄS MER
22. Meta-Pseudo Labelled Multi-View 3D Shape Recognition
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The field of computer vision has long pursued the challenge of understanding the three-dimensional world. This endeavour is further fuelled by the increasing demand for technologies that rely on accurate perception of the 3D environment such as autonomous driving and augmented reality. LÄS MER
23. Activist Art and the Intentionality of Empathy
Magister-uppsats, Uppsala universitet/Filosofiska institutionenSammanfattning : In this paper, I provide a rich account of the mental content representing the intentionality of empathic emotion in cases concerning activist art. At the core of this account is a distinction between intentional content and what I call mediating content. LÄS MER
24. Semi-Supervised Head Detection for Low Resolution Images
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Object detection is a widely researched and applied field in computer vision. Deep learning models have successfully been used for object detection over the years. The performance of State of the art (SOTA) object detection deep learning models is dependent on the number of labeled images. LÄS MER
25. A real-time Multi-modal fusion model for visible and infrared images : A light-weight and real-time CNN-based fusion model for visible and infrared images in surveillance
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Infrared images could highlight the semantic areas like pedestrians and be robust to luminance changes, while visible images provide abundant background details and good visual effects. Multi-modal image fusion for surveillance application aims to generate an informative fused images from two source images real-time, so as to facilitate surveillance observatory or object detection tasks. LÄS MER