Skeleton Search: Category-Specific Object Recognition and Segmentation Using a Skeletal Shape Model

2011 ◽  
Vol 94 (2) ◽  
pp. 215-240 ◽  
Author(s):  
Nhon H. Trinh ◽  
Benjamin B. Kimia
Keyword(s):  
Object Recognition ◽  
Shape Model ◽  
Specific Object

scholarly journals Pose Estimation of Uncooperative Unknown Space Objects from a Single Image

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Xiaoyuan Ren ◽  
Libing Jiang ◽  
Zhuang Wang
Keyword(s):  
Pose Estimation ◽  
Experimental Results ◽  
Single Image ◽  
Space Object ◽  
Shape Model ◽  
Structure Information ◽  
Space Objects ◽  
Specific Object ◽  
Unknown Objects ◽  
Unknown Object

Estimating the 3D pose of the space object from a single image is an important but challenging work. Most of the existing methods estimate the 3D pose of known space objects and assume that the detailed geometry of a specific object is known. These methods are not available for unknown objects without the known geometry of the object. In contrast to previous works, this paper devotes to estimate the 3D pose of the unknown space object from a single image. Our method estimates not only the pose but also the shape of the unknown object from a single image. In this paper, a hierarchical shape model is proposed to represent the prior structure information of typical space objects. On this basis, the parameters of the pose and shape are estimated simultaneously for unknown space objects. Experimental results demonstrate the effectiveness of our method to estimate the 3D pose and infer the geometry of unknown typical space objects from a single image. Moreover, experimental results show the advantage of our approach over the methods relying on the known geometry of the object.

Object Recognition under Sequential Viewing Conditions: Evidence for Viewpoint-Specific Recognition Procedures

Perception ◽  
1994 ◽  
Vol 23 (5) ◽  
pp. 595-613 ◽  
Author(s):  
Rebecca Lawson ◽  
Glyn W Humphreys ◽  
Derrick G Watson
Keyword(s):  
Object Recognition ◽  
Primary Role ◽  
Object Knowledge ◽  
Line Drawings ◽  
Efficient Access ◽  
Neurophysiological Studies ◽  
Specific Object ◽  
Depth Rotation ◽  
Series Of Experiments ◽  
Image Descriptions

In many computational approaches to vision it has been emphasised that object recognition involves the encoding of view-independent descriptions prior to matching to a stored object model, thus enabling objects to be identified across different retinal projections. In contrast, neurophysiological studies suggest that image descriptions are matched to less abstract, view-specific representations, resulting in more efficient access to stored object knowledge for objects presented from a view similar to a stored viewpoint. Evidence favouring a primary role for view-specific object descriptions in object recognition is reported. In a series of experiments employing line drawings of familiar objects, the effects of depth rotation upon the efficiency of object recognition were investigated. Subjects were required to identify an object from a sequence of very briefly presented pictures. The results suggested that object recognition is based upon the matching of image descriptions to view-specific stored representations, and that priming effects under sequential viewing conditions are strongly influenced by the visual similarity of different views of objects.

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