机译:通过深度编码的Hough投票进行对象检测,形状恢复和3D建模
Department of Electrical and Computer Engineering, The University of Michigan, Ann Arbor, MI 48105, United States;
Department of Electrical and Computer Engineering, The University of Michigan, Ann Arbor, MI 48105, United States;
Founder/Chief Scientist at Industrial Perception Inc., CA, United States;
Department of Electrical and Computer Engineering, The University of Michigan, Ann Arbor, MI 48105, United States;
Object recognition; Object detection; Viewpoint estimation; Shape recovery; 3D reconstruction; Shape completion; Texture completion;
机译:双圆结构描述符和霍夫投票匹配用于实时目标检测
机译:基于稀疏表示和霍夫投票的光学遥感图像目标检测
机译:基于Texton Forest和Hough投票的遥感图像旋转不变目标检测
机译:深度编码的霍夫投票,用于联合对象检测和形状恢复
机译:从距离图像构建基于3D形状基元的对象模型。
机译:使用基于ShapeNetCore数据集的3D模型训练的混合模块化神经网络体系结构重建3D对象形状
机译:深度编码的霍夫投票,用于联合对象检测和形状恢复