搜索结果: 1-15 共查到“工学 shift”相关记录104条 . 查询时间(0.265 秒)
INFLUENCE OF DOMAIN SHIFT FACTORS ON DEEP SEGMENTATION OF THE DRIVABLE PATH OF AN AUTONOMOUS VEHICLE
LiDAR Computer Vision Self-driving cars Weakly-supervised learning Convolutional Neural Network Domain adaptation
2018/6/4
One of the biggest challenges for an autonomous vehicle (and hence the WEpod) is to see the world as humans would see it. This understanding is the base for a successful and reliable future of autonom...
Chiral Metamaterial Produces Record Optical Shift Under Incremental Power Modulation
Chiral Metamaterial Produces Record Optical Shift Under Incremental Power Modulation
2017/3/14
Georgia Institute of Technology researchers have demonstrated an optical metamaterial whose chiroptical properties in the nonlinear regime produce a significant spectral shift with power levels in the...
EXPERIMENTS ON CALIBRATING TILT-SHIFT LENSES FOR CLOSE-RANGE PHOTOGRAMMETRY
Tilt-shift lens Scheimpflug principle Close range photogrammetry Brown model Pinhole camera Calibration Accuracy Precision Relative accuracy
2016/11/11
One of the strongest limiting factors in close range photogrammetry (CRP) is the depth of field (DOF), especially at very small object distance. When using standard digital cameras and lens, for a spe...
Reflection-type holographic disk-type memory using three-dimensional speckle-shift multiplexing
holographic memory reflection-type hologram speckle shift multiplexing
2016/11/22
This review presents a reflection-type holographic memory using three-dimensional(3D) speckle-shift multiplexing. First, the schematic of the proposed memory system was described. Then, experimental d...
Generation for 3D view map using polygon shift method
Polygon Shift Method bird’s eye view shadow depth distance
2016/5/20
The authors have developed a new method called "Polygon Shift Method" (named by the first author) that enables to generate bird's eye view of topographic landscape with shade and shadow. The Polygon S...
EXTRACTION OF 3D FEATURE FROM LIDAR DATA FUSED WITH AERIAL IMAGES USING IMPROVED MEAN-SHIFT ALGORITHM
LiDAR Feature Extraction Mean-Shift
2016/3/17
An innovative approach is proposed for the extraction of the complex urban three dimensional feature efficiently and accurately. In this method, firstly, both the LiDAR data and the aerial images are ...
Constructing Structure Ensembles of Intrinsically Disordered Proteins from Chemical Shift Data
Constructing Structure Ensembles Intrinsically Disordered Proteins Chemical Shift Data
2016/1/22
Modeling the structural ensemble of intrinsically disordered proteins (IDPs),which lack fixed structures, is essential in understanding their cellular functions and re-vealingtheirregulationmechanisms...
A REGION-BASED TECHNIQUE FOR FUSION OF HIGH RESOLUTION IMAGES USING MEAN SHIFT SEGMENTATION
Image processing Sharpening Image understanding Fusion Geography
2015/12/31
This paper describes a region-based technique for fusion of high-resolution images. In this technique, mean shift segmentation is adopted to extract the features for high resolution image as a substit...
基于改进Mean Shift的运动目标跟踪算法
均值漂移 卡尔曼滤波器 遮挡处理 目标跟踪
2016/7/25
为了提高传统Mean Shift算法在目标快速运动和被大面积遮挡两种情况下跟踪的效果，对Mean Shift跟踪算法进行了3点改进：采用Kalman滤波器预测运动目标轨迹，以提高算法对快速运动目标的鲁棒性；提出了一种融合Kalman滤波器残差和Bhattacharyya系数的遮挡处理机制，以提高目标被大面积遮挡时的跟踪效果；提出了一种基于自适应更新因子的目标模型更新机制，以提高动态适应能力。对比实...
On the Role of AI in the Ongoing Paradigm Shift within the Cognitive Sciences
AI cognitive science paradigm shift enactivism phenomenology
2015/7/29
This paper supports the view that the ongoing shift from orthodox to embodied-embedded cognitive science has been significantly influenced by the experimental results generated by AI research. Recentl...
URBAN DENSITY INDICES USING MEAN SHIFT-BASED UPSAMPLED ELEVATION DATA
urban density LiDA Neural Networks
2015/5/7
Urban density is an important factor for several fields, e.g. urban design, planning and land management. Modern remote sensors deliver ample information for the estimation of specific urban land cl...
基于特征贡献度的Mean Shift目标跟踪
Mean Shift 特征贡献度 模板匹配 核直方图 特征提取
2016/10/12
为有效提高Mean Shift 算法的模板匹配精确度，采用基于特征贡献度的Mean Shift 目标跟踪方法，对不 同贡献度的特征向量赋予不同的权重，以彰显目标特征、抑制背景因素。分别介绍传统Mean Shift 目标跟踪算法和 基于特征贡献度的Mean Shift 算法，并针对多组视频进行实验验证与分析。结果表明：改进后的Mean Shift 算法不 仅能提高跟踪精度、提升系统的鲁棒性，而且对6...
基于颜色与梯度方向联合直方图的Mean Shift跟踪
目标跟踪 Mean Shift跟踪 联合直方图 光照变化 目标旋转
2015/12/26
由于单一的基于方向纹理特征的模板匹配跟踪算法不能准确跟踪目标旋转,无法应对光变、目标旋转以及部分遮挡的复杂场景下的跟踪,本文在mean shift算法框架下提出一种基于颜色与梯度方向联合直方图的跟踪算法,该算法通过扩展直方图的维度将颜色与梯度方向特征融合到一个直方图中构成联合直方图。由光照变化模型计算得出光变因子表征光照变化程度,并作为两种特征的比例系数对联合直方图归一化。当光变因子小于某个阈值则...
基于特征贡献度的Mean Shift目标跟踪
Mean Shift 特征贡献度 模板匹配 核直方图 特征提取
2016/5/4
为有效提高Mean Shift 算法的模板匹配精确度，采用基于特征贡献度的Mean Shift目标跟踪方法，对不同贡献度的特征向量赋予不同的权重，以彰显目标特征、抑制背景因素。分别介绍传统Mean Shift目标跟踪算法和基于特征贡献度的Mean Shift算法，并针对多组视频进行实验验证与分析。结果表明，改进后的Mean Shift算法不仅能提高跟踪精度、提升系统的鲁棒性，而且对640 pixe...
IMAGE CLASSIFICATION BY SPATIAL SHIFT INVARIANT NEURAL NETWORK
Classification Neural Network Land use Land cover
2015/2/3
I proposed the new method to classify images using artificial neural network technology imitating bio-neural network
behind retina and in visual cortex, in order to use spatial information like huma...