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| 1 | An efficient VLSI architecture of speeded-up robust feature extraction for high resolution and high frame rate video显示文摘This paper proposes a VLSI architecture of the optimized Speeded-Up Robust Feature (SURF) algorithm. The SURF algorithm which is widely used in computer vision applications, locates interest points (IPoints) and extracts feature descriptors based on the surrounding gradients. In the proposed approach, the SURF algorithm is modified to make it more suitable for hardware implementation with little accuracy lost compared to OpenSURF, an open source software implementation based on OpenCV. The resource cost and throughput gain are balanced. Word Length Reduction (WLR) is adopted to compress the integral image and reduce the occupied memory resources. The orientations and the feature descriptors of the IPoints are calculated in a more efficient way, which significantly reduces memory accesses. Moreover, the operations are pipelined both in and among the proposed hardware modules. This VLSI architecture has been validated on FPGA (Xilinx Virtex-4 XC4VLX80), which is able to detect IPoints and extract SURF feature descriptors in a VGA (640 × 480) 64 fps video input with a 96 MHz working frequency while dissipating 1.278 W. This throughput is more than double of the ones reported in the latest literatures. | ZHANG WeiLong LIU LeiBo YIN ShouYi ZHOU RenYan CAI ShanShan WEI ShaoJun | 2013 | Science China(Information Sciences)2013，56，7： | 6 |
| 2 | A VLSI Architecture for the Node of Wireless Image Sensor Network显示文摘 | ZHOU Renyan LIU Leibo YIN Shouyi LUO Ao CHEN Xinkai WEI Shaojun | 2011 | Chinese Journal of Electronics2011，20，4： | 1 |
| 3 | Enhancement of MoTe2 near-infrared absorption with gold hollow nanorods for photodetection显示文摘Infrared(IR)light photodetection based on two dimensional(2D)materials of proper bandgap has attracted increasing attention.However,the weak IR absorption in 2D materials,due to their ultrathin attribute and indirect bandgap in multilayer structures,degrades their performance when used as IR photodetectors.In this work,we utilize the fact that few-layer MoTe2 flake has a near-IR(NIR)bandgap and demonstrate a^60-fold enhancement of NIR response by introducing a gold hollow nanorods on the surface.Such gold hollow nanorods have distinct absorption peak located also at the NIR regime,therefore induces strong resonance,benefitting NIR absorption in MoTe2,resulting in strong near-field enhancement.With the evidence from steady and transient state optical spectra,we confirm that the enhancement of NIR response originates only photon absorption,rather than electron transport at interfaces as observed in other heterostructures,therefore,precluding the requirement of high-quality interfaces for commercial applications. | Jiawen You Ye Yu Kai Cai Dongming Zhou Haiming Zhu Renyan Wang Qingfu Zhang Hongwei Liu Yuting Cai Dong Lu Jang-Kyo Kim Lin Gan Tianyou Zhai Zhengtang Luo | 2020 | Nano Research2020，13，6： | 1 |
| 4 | Optimization of speeded-up robust feature algorithm for hardware implementation显示文摘Speeded-Up Robust Feature(SURF)is a widely-used robust local gradient feature detection and description algorithm.The algorithm itself can be implemented easily on general-purpose processors.However,the software implementation of SURF cannot achieve a performance high enough to meet the practical real-time requirements.And what is more,the huge data storage and the floating point operation of SURF algorithm make it hard and onerous to design and verify corresponding hardware implementation.This paper customized a SURF algorithm for hardware implementation,which combined several optimization methods in previous literature and three approaches(named Word Length Reduction(WLR),Low Bits Abandon(LBA),and Sampling Radius Reduction(SRR)).The computation operations of the simplified and optimized SURF(P-SURF)were reduced by 50%compared with the original SURF.At the same time,the Recall and Precision of the SURF feature descriptor are only dropped by 0.31 on average in the typical testing set,which are within an acceptable accuracy range.P-SURF has been implemented on hardware using TSMC 65 nm process,and the architecture of the whole system mainly contains four modules,including Integral Image Generator,IPoint Detector,IPoint Orientation Assigner,and IPoint Feature Vector Extractor.The chip size is 3.4×4 mm2.The power usage is less than 220mW according to the Synopsys Prime time while extracting IPoints in a video input of VGA(640×480)172 fps operating at 200 MHz.The performance is better than the results reported in literature. | CAI ShanShan LIU LeiBo YIN ShouYi ZHOU RenYan ZHANG WeiLong WEI ShaoJun | 2014 | Science China(Information Sciences)2014，57，4： | 1 |
| 5 | Modulation of the Anisotropic Electronic Properties in ReS_(2) via Ferroelectric Film显示文摘Anisotropic response in two-dimensional materials has emerged with attractive potential applications in angle-sensitive areas.However,the challenge with current studies on anisotropic response is due to the main use of the structural materials of pristine to examine the physical properties in different direc-tions,which cause restriction of the anisotropic ratio within a narrow range,thereby,limiting their practical applications. | Renyan Wang Fengya Zhou Liang Lv Shasha Zhou Yiwei Yu Fuwei Zhuge Huiqiao Li Lin Gan Tianyou Zhai | 2019 | CCS Chemistry2019，1，3： | 0 |
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