Kyeongryeol Bong

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Object recognition processors have been reported for the applications of auto-nomic vehicle navigation, smart surveillance and unmanned air vehicles (UAVs) [1-3]. Most of the processors adopt a single classifier rather than multiple clas-sifiers even though multi-classifier systems (MCSs) offer more accurate recognition with higher robustness [4]. In(More)
Deep Learning algorithm is widely used for various pattern recognition applications such as text recognition, object recognition and action recognition because of its best-in-class recognition accuracy compared to hand-crafted algorithm and shallow learning based algorithms. Long learning time caused by its complex structure, however, limits its usage only(More)
Smart eyeglasses or head-mounted displays (HMDs) have been gaining traction as next-generation mainstream wearable devices. However, previous HMD systems [1] have had limited application, primarily due to their lacking a smart user interface (UI) and user experience (UX). Since HMD systems have a small compact wearable platform, their UI requires new(More)
A 36 Heterogeneous multicore processor is proposed to accelerate recognition-based markerless augmented reality. To enable a real-time operation of the proposed augmented reality, task-level pipelined multicore architecture with DLP/TLP optimized SIMD processing elements is implemented. In addition, the multicore employs a congestion-aware network-on-chip(More)