Grasp Motion Synthesis Based on Object Features

2006 ◽  
pp. 305-314
Author(s):  
Yoshihiro Yasumuro ◽  
Masayuki Yamazaki ◽  
Masataka Imura ◽  
Yoshitsugu Manabe ◽  
Kunihiro Chihara
Keyword(s):  
Motion Synthesis ◽  
Object Features

Computational Studies of Human Motion: Part 1, Tracking and Motion Synthesis

2005 ◽  
Author(s):  
David A. Forsyth ◽  
Okan Arikan ◽  
Leslie Ikemoto ◽  
James O'Brien ◽  
Deva Ramanan
Keyword(s):  
Human Motion ◽  
Computational Studies ◽  
Motion Synthesis

Stylistic Human Motion Synthesis with Low-dimensional Motion Model and Inverse Kinematics

2010 ◽  
Vol 22 (1) ◽  
pp. 145-151
Author(s):  
Gengdai Liu ◽  
Zhigeng Pan ◽  
Xi Cheng ◽  
Mingliang Xu
Keyword(s):  
Inverse Kinematics ◽  
Human Motion ◽  
Motion Model ◽  
Motion Synthesis ◽  
Low Dimensional ◽  
Human Motion Synthesis

Evaluation of the expediency of using thermal i magery data for decryption exogenous processes and vegetation

2018 ◽  
Vol 933 (3) ◽  
pp. 52-62
Author(s):  
V.S. Tikunov ◽  
I.A. Rylskiy ◽  
S.B. Lukatzkiy
Keyword(s):  
Spatial Data ◽  
Laser Scanning ◽  
Data Extraction ◽  
Spectral Band ◽  
Information Provision ◽  
Lidar Data ◽  
Thermal Imagery ◽  
Scanning Lidar ◽  
Field Works ◽  
Object Features

Innovative methods of aerial surveys changed approaches to information provision of projecting dramatically in last years. Nowadays there are several methods pretending to be the most efficient for collecting geospatial data intended for projecting – airborne laser scanning (LIDAR) data, RGB aerial imagery (forming 3D pointclouds) and orthoimages. Thermal imagery is one of the additional methods that can be used for projecting. LIDAR data is precise, it allows us to measure relief even under the vegetation, or to collect laser re-flections from wires, metal constructions and poles. Precision and completeness of the DEM, produced from LIDAR data, allows to define relief microforms. Airborne imagery (visual spectrum) is very widespread and can be easily depicted. Thermal images are more strange and less widespread, they use different way of image forming, and spectral features of ob-jects can vary in specific ways. Either way, the additional spectral band can be useful for achieving additional spatial data and different object features, it can minimize field works. Here different aspects of thermal imagery are described in comparison with RGB (visual) images, LIDAR data and GIS layers. The attempt to estimate the feasibility of thermal imag-es for new data extraction is made.

Motion synthesis and editing for the generation of new sign language content

2021 ◽  
Author(s):  
Lucie Naert ◽  
Caroline Larboulette ◽  
Sylvie Gibet
Keyword(s):  
Sign Language ◽  
Motion Synthesis ◽  
Language Content

Competitive motion synthesis based on hybrid control

2009 ◽  
Vol 20 (2-3) ◽  
pp. 225-235 ◽  
Author(s):  
Zhang Liang ◽  
Jun Xiao ◽  
Yueting Zhuang ◽  
Cheng Chen
Keyword(s):  
Hybrid Control ◽  
Motion Synthesis

scholarly journals Distance, shape and more: recognition of object features during active electrolocation in a weakly electric fish

2007 ◽  
Vol 210 (17) ◽  
pp. 3082-3095 ◽  
Author(s):  
G. von der Emde ◽  
S. Fetz
Keyword(s):  
Electric Fish ◽  
Weakly Electric Fish ◽  
Object Features ◽  
Weakly Electric

Cam Motion Synthesis Using Spline Functions: Part I — Basic Theory and Elementary Applications

1987 ◽  
Author(s):  
D. M. Tsay ◽  
C. O. Huey
Keyword(s):  
Basic Theory ◽  
Spline Functions ◽  
Motion Synthesis ◽  
Automated Method ◽  
Motion Characteristics ◽  
General Synthesis

Abstract The application of spline functions to the general synthesis of cam motion programs is presented. The approach provides a single, systematic, easily automated method of accommodating discrete constraints on follower displacements, velocities, and accelerations, even when the set of constraints becomes large. It also allows the designer to develop refined motion characteristics while still satisfying the discrete constraints. A series of examples is presented to illustrate application of the method and to compare it to the more traditional techniques.

Independent features form integrated objects: Using a novel shape-color “conjunction task” to reconstruct memory resolution for multiple object features simultaneously

2021 ◽  
Author(s):  
Aedan Yue Li ◽  
Keisuke Fukuda ◽  
Morgan Barense
Keyword(s):  
High Resolution ◽  
Object Representation ◽  
Empirical Support ◽  
Work Memory ◽  
Spatial Location ◽  
Feature Integration ◽  
Multiple Object ◽  
Individual Features ◽  
Independent Features ◽  
Object Features

Though much progress has been made to understand feature integration, debate remains regarding how objects are represented in mind based on their constituent features. Here, we advance this debate by introducing a novel shape-color “conjunction task” to reconstruct memory resolution for multiple object features simultaneously. In a first experiment, we replicated and extended a classic change detection paradigm using our task. Replicating previous work, memory resolution for individual features was reduced when the number of objects increased, regardless of the number of to-be-remembered features. Extending previous work, we found that high resolution memory near perfect in resemblance to the target was selectively impacted by the number of to-be-remembered features. Applying a statistical model of stochastic dependence, we found evidence primarily for integration of low-resolution feature memories, but less evidence for integration of high-resolution feature memories. These results suggest a resolution trade-off, such that memory resolution for individual features can be higher when those features are represented independently compared to when those features are integrated. In a second experiment which manipulated the nature of distracting information, we examined whether object features were directly bound to each other or by virtue of shared spatial location. Feature integration was disrupted by distractors sharing visual features of target objects but not disrupted when distractors shared spatial location – suggesting that feature integration was driven by direct binding between shape and color features. Our results constrain theoretical models of object representation, providing empirical support for hierarchical representations of both integrated and independent features.

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