Recognition and pose estimation of unoccluded three-dimensional objects from a two-dimensional perspective view by banks of neural networks

1996 ◽  
Vol 7 (4) ◽  
pp. 897-906 ◽  
Author(s):  
A. Khotanzad ◽  
J.J.-H. Liou
Keyword(s):  
Neural Networks ◽  
Pose Estimation ◽  
Three Dimensional ◽  
Two Dimensional ◽  
Perspective View ◽  
Three Dimensional Objects

scholarly journals Tokens, Writing and (Ac)counting: A Conversation with Denise Schmandt-Besserat and Bill Maurer

2017 ◽  
Vol 5 (1) ◽  
pp. 1-14 ◽  
Author(s):  
Denise Wilding ◽  
Clare Rowan ◽  
Bill Maurer ◽  
Denise Schmandt-Besserat ◽  
Denise Wilding ◽  
...  
Keyword(s):  
20Th Century ◽  
Three Dimensional ◽  
Two Dimensional ◽  
Three Dimensional Objects ◽  
American Scientist

In her foundational study of Neolithic clay tokens, the renowned archaeologist Denise Schmandt-Besserat identified that different token shapes represented different goods and were used in accounting and distribution. When these tokens came to be stored in sealed clay envelopes (likely representing a debt), each token was impressed on the outside of the envelope before being placed inside (thus allowing people to see quickly what was within). Three-dimensional objects were thus reduced to two-dimensional representations, the first form of writing (and contributing to cuneiform script). These clay envelopes in turn developed into pictographic tablets; here each token did not have to be impressed into the clay in a 'one, one, one' system, but instead quantity was indicated by a numerical symbol - abstract number was born. Much of Schmandt-Besserat’s work can be found online at https://sites.utexas.edu/dsb/. Her book ‘How Writing Came About’ was listed by American Scientist magazine as one of the 100 books that shaped science in the 20th century, and she remains an active expert on all things ‘token’.

scholarly journals A system for generating virtual seeds

1998 ◽  
Vol 55 (spe) ◽  
pp. 39-45 ◽  
Author(s):  
Y. Sako ◽  
K. Fujimura ◽  
M.B. McDonald ◽  
D. James
Keyword(s):  
Three Dimensional ◽  
Promising Method ◽  
Two Dimensional ◽  
Dimensional Representation ◽  
Accurate Identification ◽  
Computer Screen ◽  
Three Dimensional Objects ◽  
Three Dimensional Representation ◽  
Quicktime Vr

Seed analysts need to identify seeds, and seed catalogs are used as a reference to accomplish this task. Conventional seed catalogs supply two-dimensional photographs and hand-drawn diagrams. In this study, a new, three-dimensional representation of seeds is developed to supplement these traditional photographs and drawings. QuickTime VR is a promising method for viewing three-dimensional objects on a computer screen. It permits manipulation of an object by rotating and viewing it from any pre-specified angle at an interactive speed, allowing the viewer the sense of examining a hand-held object. In this study, QuickTime VR object movies of seeds were created as interactive "movies" of seeds that can be rotated and scaled to give the viewer the sensation of examining actual seeds. This approach allows the examination of virtual seeds from any angle, permitting more accurate identification of seeds by seed analysts.

scholarly journals Addition of Illuminator Fiber Optic to Produce 3 Dimension Effects in Micrographic Observation Using Upright Microscope

2020 ◽  
Vol 3 ◽  
pp. 493-496
Author(s):  
Sutriyono ◽  
Widodo ◽  
Retno Suryandari
Keyword(s):  
Optical Fiber ◽  
Experimental Method ◽  
Daphnia Magna ◽  
High Intensity ◽  
Fiber Optic ◽  
Three Dimensional ◽  
Two Dimensional ◽  
Three Dimensional Objects ◽  
Stereo Microscope ◽  
Total Magnification

Microscope is one of the tools used in practicums with high intensity. The use of a microscope adjusts to the object to be observed in order to obtain optimal micrographic results. Stereo microscopes are used to observe three-dimensional objects. Upright microscopes are used to observe two-dimensional objects. This study aims to combine the two advantages of stereo microscopy that can produce three-dimensional micrography with the advantages of an upright microscope that has a high total magnification. The method used in this study is an experimental method by adding an optical fiber illuminator in the use of an upright microscope and then applying it in various observations. The conclusion of this research is the addition of an optical fiber illuminator in observations using an upright microscope can replace the function of a stereo microscope; can produce three-dimensional effects and increase magnification in Daphnia magna micrographic observations.

scholarly journals Feasibility Study of Textureless Object Detection and Pose Estimation Based on a Model with 3D Edgels and Surfaces

2015 ◽  
Vol 6 (1) ◽  
Author(s):  
Kimitoshi Yamazaki ◽  
Kiyohiro Sogen ◽  
Takashi Yamamoto ◽  
Masayuki Inaba
Keyword(s):  
Object Detection ◽  
Feasibility Study ◽  
Pose Estimation ◽  
Template Matching ◽  
Input Data ◽  
Three Dimensional ◽  
Target Object ◽  
Textural Features ◽  
Two Dimensional ◽  
Home Appliances

Abstract This paper describes a method for the detection of textureless objects. Our target objects include furniture and home appliances, which have no rich textural features or characteristic shapes. Focusing on the ease of application, we define a model that represents objects in terms of three-dimensional edgels and surfaces. Object detection is performed by superimposing input data on the model. A two-stage algorithm is applied to bring out object poses. Surfaces are used to extract candidates fromthe input data, and edgels are then used to identify the pose of a target object using two-dimensional template matching. Experiments using four real furniture and home appliances were performed to show the feasibility of the proposed method.We suggest the possible applicability in occlusion and clutter conditions.

Contextualised learning‐free three‐dimensional body pose estimation from two‐dimensional body features in monocular images

2016 ◽  
Vol 10 (4) ◽  
pp. 299-307
Author(s):  
Luis Unzueta ◽  
Nerea Aranjuelo ◽  
Jon Goenetxea ◽  
Mikel Rodriguez ◽  
Maria Teresa Linaza
Keyword(s):  
Pose Estimation ◽  
Three Dimensional ◽  
Two Dimensional ◽  
Body Pose Estimation

Mental rotation of representations of two-dimensional and three-dimensional objects.

1985 ◽  
Vol 39 (1) ◽  
pp. 100-129 ◽  
Author(s):  
Pierre Jolicœur ◽  
Sonya Regehr ◽  
Lyndon B. J. P. Smith ◽  
Garth N. Smith
Keyword(s):  
Mental Rotation ◽  
Three Dimensional ◽  
Two Dimensional ◽  
Three Dimensional Objects

Pose estimation from a two-dimensional view by use of composite correlation filters and neural networks

2003 ◽  
Vol 42 (29) ◽  
pp. 5882 ◽  
Author(s):  
Albertina Castro ◽  
Yann Frauel ◽  
Eduardo Tepichín ◽  
Bahram Javidi
Keyword(s):  
Neural Networks ◽  
Pose Estimation ◽  
Two Dimensional ◽  
Correlation Filters
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