8 accepted papers
Convolutional neural networks (CNNs) demand huge DRAM bandwidth for computational imaging tasks, and block-based processing has recently been applied to greatly reduce the bandwidth. However, the induced additional computation for feature recomputing or the large SRAM for feature reusing will degrad…
Complex steerable pyramid (CSP) is widely used to decompose images into muti-scale and oriented subbands for phase-based processing, such as video magnification, frame interpolation, and view synthesis. The conventional implementation is based on frequency-domain bandpass filtering which relies on f…
In this paper, fast and accurate two paths CNN architecture was designed in hardware-oriented manner. Our proposed network is composed of RGB and depth path for gesture recognition by fusing RGB and depth features, following the pre-defined constraints on dedicated hardware. The RTL simulation resul…
View synthesis is one of the important techniques utilized in 3D TV devices. Traditional methods such as depth image-based rendering usually rely on accurate depth maps which require computation-intensive stereo matching. In this work, we present a hardware system of phase-based view synthesis that…
High-quality and high-resolution depth maps have opened tremendous possibilities for various applications, such as ARlVR display, 3D reconstruction, image refocusing, and view synthesis. But high-resolution depth estimation requires heavy hardware resources. Depth upsampling with weighted mode filte…
Markov Random Fields are widely used to model light-field stereo matching problems. However, most previous approaches used fixed parameters and did not adapt to light-field statistics. Instead, they explored explicit vision cues to provide local adaptability and thus enhanced depth quality. But such…
Range-weighted neighborhood filters are useful and popular for their edge-preserving property and simplicity, but they are originally proposed as intuitive tools. Previous works needed to connect them to other tools or models for indirect property reasoning or parameter estimation. In this paper, we…
Digital refocusing for sparsely sampled light fields results in aliasing effect. For realistic quality, previous works performed anti-aliasing by applying time-consuming view interpolation for a heuristic number of novel views. In this paper, we study this problem by first performing a spectral anal…