Jonathan Emmanuel D Narinx

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The capability to process high-resolution videos in real-time is becoming more important in a wide variety of applications such as autonomous vehicles, virtual reality or intelligent surveillance systems. The high-accuracy and complex video processing algo ...

This paper presents a single-chip trinocular disparity estimation processor, capable of computing in real-time up to 2048×1080 resolution depth maps at 32fps with up to 256-pixel disparity range using two/three CMOS camera sensors. The most important featu ...

This paper proposes a hardware-oriented trinocular adaptive window size disparity estimation (T-AWDE) algorithm and the first real-time trinocular disparity estimation (DE) hardware that targets high-resolution images with high-quality disparity results. T ...

Logic-compatible gain-cell embedded DRAM (GC-eDRAM) is an emerging alternative to conventional SRAM for memory-dominated system-on-chip (SoC) designs due to its high-density, low-power, and two-ported operation. Although GCs have a limited data retention t ...

The recent development of high quality free viewpoint synthesis algorithms and their implementations allows to realize glasses-free 3D perception. Although many algorithms are developed on this domain, the real-time hardware realization of a free viewpoint ...

Jonathan Emmanuel D Narinx

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A Real-Time Multi-Camera Depth Estimation ASIC with Custom On-Chip Embedded DRAM

A Single-chip 2048x1080 Resolution 32fps 380mW Trinocular Disparity Estimation Processor in 28nm CMOS Technology

Trinocular Adaptive Window Size Disparity Estimation Algorithm and Its Real-Time Hardware

A 24 kb Single-Well Mixed 3T Gain-Cell eDRAM with Body-Bias in 28 nm FD-SOI for Refresh-Free DSP Applications

Real-Time Free Viewpoint Synthesis Using Three-Camera Disparity Estimation Hardware