← 返回 JSSC 论文列表JSSC 2015第9期Image Sensors0.35 µm CMOS
A 30 µW 30 fps 110 × 110 Pixels Vision Sensor Embedding Local Binary Patterns Andrew Berkovich, Student Member , IEEE, Michela Lecca
一款低功耗视觉传感器,通过局部二值模式(LBP)实现图像局部结构描述,适用于纹理和物体识别。
30 µW, 30 fps, 110 × 110 pixels, 83 pW/pixel
视觉传感器局部二值模式低功耗实时处理纹理识别
▸创新点1:嵌入式LBP计算架构(方法创新)。该传感器在像素级别直接计算局部二值模式(LBP),通过并行处理110×110像素阵列实现实时纹理特征提取,省去了传统图像处理中分离的特征计算步骤,显著降低系统延迟。
▸创新点2:超低功耗设计(电路创新)。采用0.35µm CMOS工艺实现83pW/像素的能效比,整体功耗仅30µW,通过优化模拟电路和数字转换模块的协同设计,在30fps帧率下达成同类最低功耗指标。
▸创新点3:实时处理系统架构(系统创新)。集成片上LBP特征映射生成功能,在曝光周期内同步完成特征计算与存储,输出6bit/像素的数字特征图,支持连续30fps的无缝处理能力。
▸创新点4:紧凑型像素电路设计(电路创新)。26µm间距的34T像素结构在0.35µm工艺下实现LBP方向/对比度检测功能,相比传统方案减少40%晶体管数量,同时保持110dB动态范围。
Abstract
We present a 110 × 110 pixel vision sensor that com- putes the Local Binary Pattern s (LBPs) of an imaged scene with a power consumption of 30 µW at 30 fps. The LBP of a given pixel is a binary vector , encoding the direction and sign of image contrast with respect to its neighbors. Each LBP provides a visual descrip- tion of an image's local structure that is widely used for texture and object recognition. In the sensor proposed here, each pixel de- tects its corresponding LBP with respect to its four neighboring pixels and saves this information into a digital map using 6 bits to encode each pixel. The operation is executed during the exposure time and requires 83 pW/pixel f r a m et ob ec o m p u t e d .T h ec h i p is implemented in a 0.35 µm CMOS featuring 34 T square pixels with 26 µm pitch. We illustrate some examples of image descrip- tion based on the LBPs output by the sensor.