Are 2D and 3D location equally prioritized in object processing?
نویسندگان
چکیده
منابع مشابه
2D multislice and 3D MRI sequences are often equally sensitive.
A simple theoretical model was developed to compare the sensitivities (i.e., signal-to-noise ratios per unit imaging time) of two-dimensional (2D) multislice and 3D imaging sequences. The model shows that the sensitivities of 3D and 2D multislice MRI sequences are usually similar. Sensitivities are identical in T2-weighted sequences when the T(R)s of the two sequences are the same. In T1-weight...
متن کامل2D Observers in 3D Object Recognition
Converging evidence has shown that human object recognition depends on the observers' familiarity with objects' appearance. The more similar the objects are, the stronger this dependence is, and the more important two-dimensional (2D) image information is to discriminate these objects from one another. The degree to which 3D structural information is used, however, still remains an area of stro...
متن کامل2D observers for human 3D object recognition?
In human object recognition, converging evidence has shown that subjects' performance depends on their familiarity with an object's appearance. The extent of such dependence is a function of the inter-object similarity. The more similar the objects are, the stronger this dependence will be and the more dominant the two-dimensional (2D) image-based information will be. However, the degree to whi...
متن کامل3D Object Repair Using 2D Algorithms
A number of three-dimensional algorithms have been proposed to solve the problem of patching surfaces to rectify and extrapolate missing information due to model problems or bad geometry visibility during data capture. On the other hand, a number of similar yet more simple and robust techniques apply to 2D image data and are used for texture restoration. In this paper we make an attempt to brin...
متن کاملA generalized method for 3D object location from single 2D images
-A method is presented to solve for the three-dimensional (3D) object position and orientation from single two-dimensional (2D) images based on a systematic hierarchy of features: primitive features, generalized features, and compound structures. A virtual viewpoint analysis shows that a featurecentered coordinate system allows us to drastically reduce the mathematical complexity of the inverse...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Vision
سال: 2016
ISSN: 1534-7362
DOI: 10.1167/16.12.288