ID 原文 译文
58678 对于视频数据:首先使用神经网络从视频每一帧彩色图像中提取模型参数,再利用人体关键点和轮廓的约束对参数进行优化求解,最后结合视频序列的帧间连贯性对视频全部帧的姿态估计结果进行误差纠正,使所得的运动序列更加流畅平滑。 For video data, the neural network is first used in extracting the model parameters from each color image frame. Next, the human key-points and contour constraint are considered to optimize the above parameters. Then the coherence between every two consecutive frames is utilized to correct the error of pose estimation, thus making the resulting motion sequence smoother.
58679 此外,为了进一步提升算法的精度,利用深度图所得点云与对应彩色图所得模型作为联合输入,然后利用点云与模型对应点的距离约束进行优化求解,最终得到一个与人体真实姿态相似的结果。 In addition, the point cloud and the model obtained from the corresponding color image frame are used as the joint input to further improve the estimation accuracy. Finally, the distance between the point cloud and the corresponding point of the model is constrained to be as small as possible to obtain a more reasonable solution.
58680 将该算法与同类算法分别在公开数据集和真实数据上进行定性及定量的比较,实验结果表明,该算法能有效地纠正单帧姿态估计结果中出现的误差及运动不连续等问题,且在利用点云数据优化后,大幅提高了算法的精确度。 The proposed algorithm and the state-of-the-art algorithms are compared qualitatively and quantitatively on the data set and real video set. Experimental results show that the algorithm can effectively correct the error and incoherence in the single-frame pose estimation results and greatly improve the accuracy when using point cloud data optimization.
58681 由于氮化铝压电薄膜相对较低的压电常数限制了氮化铝基微机械超声换能器的发展和应用,因此针对该问题研究了氮化铝基微机械超声换能器阵列的指向性。 The relatively low piezoelectric constant of the aluminum nitride piezoelectric film limits the development and application of the piezoelectric micro-machined ultrasonic transducer based on the aluminum nitride. Therefore, the directivity of the piezoelectric micro-machined ultrasonic transducer array is studied for this problem.
58682 首先依据瑞利原理计算了换能器阵的远场声压以及归一化指向性函数; First, the far-field sound pressure and normalized directivity function of the transducer array are calculated according to the Rayleigh principle.
58683 进而仿真分析了阵元半径、阵元间距、阵元数量以及工作频率等因素对阵列波束宽度、方向锐度角和旁瓣级的影响,并对换能器阵进行了优化; Furthermore, the effects of array element radius, array element spacing, array element number and operating frequency on the beam width, direction sharpness angle and sidelobe level of the array are analyzed, and the transducer array is optimized.
58684 最后根据优化结果、面积和填充效率等因素进行综合考虑,确定了换能器阵的最终结构尺寸,并对其声压分布进行了可视化仿真。 Finally, based on the optimization results, area and filling efficiency, the final structure size of the transducer array is determined and the sound pressure distribution visually simulated.
58685 仿真结果表明,优化后换能器阵具有较为理想的声压分布,指向性良好,主瓣尖锐,主瓣的-3dB波束宽度为9°左右,旁瓣级为0.228左右。 The results show that the optimized transducer array has an ideal sound pressure distribution, good directivity and sharp main lobe. The-3dB beamwidth of the main lobe is about 9 ° and the sidelobe level is about 0. 228.
58686 针对尿液有形成分细胞图像的分类问题,提出了一种压缩激励机制驱动的GoogLeNet尿液细胞图像分类算法。 In order to solve the classification problem on the urine-forming sub-cell images, a urine cell image classification algorithm based on the Squeeze-and-Excitation GoogLeNet is proposed.
58687 该算法采用特征重标定机制,通过压缩操作和激励操作显式地建模Inception架构在训练过程中学习到的细胞特征通道之间的依赖关系,从而提升有用特征在当前任务中的重要程度。 The algorithm uses the feature recalibration mechanism and brings about significant improvement in the useful feature for the current task through squeeze and excitation operations, which explicitly models interdependencies between cell feature channels learned by the Inception architecture during the training process.