一般来说，重建大楼的精确形状，我们为每座大楼需要至少一个立体声模型(二张相片) 。然而，在大多数情况中，仅仅一张单个非公制的相片是可得到的，它是由一个业余运动员的通常获得的任何一个，例如一个旅游者，或从一份报纸或一张明...一般来说，重建大楼的精确形状，我们为每座大楼需要至少一个立体声模型(二张相片) 。然而，在大多数情况中，仅仅一张单个非公制的相片是可得到的，它是由一个业余运动员的通常获得的任何一个，例如一个旅游者，或从一份报纸或一张明信片。从一幅单个非公制的图象评估 3D 重建的有效性，当这被认为是，这研究借助于模拟法用一幅单个非公制的图象在 X 和 Y 方向在维的形状的精确性上分析目标深度的效果在大多数情况中，在记录并且记录大楼的数据收集的主要来源。展开更多
Holoscopic 3D imaging is a true 3D imaging system mimics fly’s eye technique to acquire a true 3D optical model of a real scene. To reconstruct the 3D image computationally, an efficient implementation of an Auto-Fea...Holoscopic 3D imaging is a true 3D imaging system mimics fly’s eye technique to acquire a true 3D optical model of a real scene. To reconstruct the 3D image computationally, an efficient implementation of an Auto-Feature-Edge (AFE) descriptor algorithm is required that provides an individual feature detector for integration of 3D information to locate objects in the scene. The AFE descriptor plays a key role in simplifying the detection of both edge-based and region-based objects. The detector is based on a Multi-Quantize Adaptive Local Histogram Analysis (MQALHA) algorithm. This is distinctive for each Feature-Edge (FE) block i.e. the large contrast changes (gradients) in FE are easier to localise. The novelty of this work lies in generating a free-noise 3D-Map (3DM) according to a correlation analysis of region contours. This automatically combines the exploitation of the available depth estimation technique with edge-based feature shape recognition technique. The application area consists of two varied domains, which prove the efficiency and robustness of the approach: a) extracting a set of setting feature-edges, for both tracking and mapping process for 3D depthmap estimation, and b) separation and recognition of focus objects in the scene. Experimental results show that the proposed 3DM technique is performed efficiently compared to the state-of-the-art algorithms.展开更多
Occlusion problem is one of the challenging issues in vision field for a long time,and the occlusion phenomenon of visual object will be involved in many vision research fields. Once the occlusion occurs in a visual s...Occlusion problem is one of the challenging issues in vision field for a long time,and the occlusion phenomenon of visual object will be involved in many vision research fields. Once the occlusion occurs in a visual system,it will affect the effects of object recognition,tracking,observation and operation,so detecting occlusion autonomously should be one of the abilities for an intelligent vision system. The research on occlusion detection method for visual object has increasingly attracted attentions of scholars. First,the definition and classification of the occlusion problem are presented.Then,the characteristics and deficiencies of the occlusion detection methods based on the intensity image and the depth image are analyzed respectively,and the existing occlusion detection methods are compared. Finally,the problems of existing occlusion detection methods and possible research directions are pointed out.展开更多
An effective algorithm for tank objects identification in a complex background that fea-tures the perceptual organization is proposed in this paper.With multi-window architecture,the algorithm consists of two parts:co...An effective algorithm for tank objects identification in a complex background that fea-tures the perceptual organization is proposed in this paper.With multi-window architecture,the algorithm consists of two parts:coarse recognition and detailed recognition.Based onprior knowledge,coarse recognition scans the entire image data,then gets the target-kerneland its interesting window to direct detailed processing.Moreover,the detailed recognitionexecutes a depth-first search which retrieves locally around the target-kernel in the windowaccording to the rule of similarity measure.Experimental results show that the algorithm canidentify tank objects in a complicated scene effectively.展开更多
文摘一般来说，重建大楼的精确形状，我们为每座大楼需要至少一个立体声模型(二张相片) 。然而，在大多数情况中，仅仅一张单个非公制的相片是可得到的，它是由一个业余运动员的通常获得的任何一个，例如一个旅游者，或从一份报纸或一张明信片。从一幅单个非公制的图象评估 3D 重建的有效性，当这被认为是，这研究借助于模拟法用一幅单个非公制的图象在 X 和 Y 方向在维的形状的精确性上分析目标深度的效果在大多数情况中，在记录并且记录大楼的数据收集的主要来源。
文摘Holoscopic 3D imaging is a true 3D imaging system mimics fly’s eye technique to acquire a true 3D optical model of a real scene. To reconstruct the 3D image computationally, an efficient implementation of an Auto-Feature-Edge (AFE) descriptor algorithm is required that provides an individual feature detector for integration of 3D information to locate objects in the scene. The AFE descriptor plays a key role in simplifying the detection of both edge-based and region-based objects. The detector is based on a Multi-Quantize Adaptive Local Histogram Analysis (MQALHA) algorithm. This is distinctive for each Feature-Edge (FE) block i.e. the large contrast changes (gradients) in FE are easier to localise. The novelty of this work lies in generating a free-noise 3D-Map (3DM) according to a correlation analysis of region contours. This automatically combines the exploitation of the available depth estimation technique with edge-based feature shape recognition technique. The application area consists of two varied domains, which prove the efficiency and robustness of the approach: a) extracting a set of setting feature-edges, for both tracking and mapping process for 3D depthmap estimation, and b) separation and recognition of focus objects in the scene. Experimental results show that the proposed 3DM technique is performed efficiently compared to the state-of-the-art algorithms.
基金Supported by the National Natural Science Foundation of China(No.61379065) Natural Science Foundation of Hebei Province(No.F2014203119)
文摘Occlusion problem is one of the challenging issues in vision field for a long time,and the occlusion phenomenon of visual object will be involved in many vision research fields. Once the occlusion occurs in a visual system,it will affect the effects of object recognition,tracking,observation and operation,so detecting occlusion autonomously should be one of the abilities for an intelligent vision system. The research on occlusion detection method for visual object has increasingly attracted attentions of scholars. First,the definition and classification of the occlusion problem are presented.Then,the characteristics and deficiencies of the occlusion detection methods based on the intensity image and the depth image are analyzed respectively,and the existing occlusion detection methods are compared. Finally,the problems of existing occlusion detection methods and possible research directions are pointed out.
基金Supported by National Defense Science and Technology Foundation of China.
文摘An effective algorithm for tank objects identification in a complex background that fea-tures the perceptual organization is proposed in this paper.With multi-window architecture,the algorithm consists of two parts:coarse recognition and detailed recognition.Based onprior knowledge,coarse recognition scans the entire image data,then gets the target-kerneland its interesting window to direct detailed processing.Moreover,the detailed recognitionexecutes a depth-first search which retrieves locally around the target-kernel in the windowaccording to the rule of similarity measure.Experimental results show that the algorithm canidentify tank objects in a complicated scene effectively.
