Planar Shape Blending Algorithm with Preserving Interior Similarity

2007 ◽  
Vol 44 (11) ◽  
pp. 1932
Author(s):  
Dongmei Zhang
Keyword(s):  
Planar Shape ◽  
Shape Blending

scholarly journals Active palpation underlying shape perception is shaped by physiological thresholds and experience

2020 ◽  
Author(s):  
Neomi Mizrachi ◽  
Guy Nelinger ◽  
Ehud Ahissar ◽  
Amos Arieli
Keyword(s):  
High Speed ◽  
Shape Perception ◽  
Tactile Perception ◽  
Hand Movements ◽  
Hand Tracking ◽  
Experimental Session ◽  
Temporal Adaptation ◽  
Planar Shape ◽  
Contour Following ◽  
Human Participants

ABSTRACTHand movements are essential for tactile perception of objects. However, why different individuals converge on specific movement patterns is not yet clear. Focusing on planar shape perception, we tracked the hands of 11 participants while they practiced shape recognition. Our results show that planar shape perception is mediated by contour-following movements, either tangential to the contour or spatially-oscillating perpendicular to it, and by scanning movements, crossing between distant parts of the shapes’ contour. Both strategies exhibited non-uniform coverage of the shapes’ contours. We found that choice of strategy during the first experimental session was strongly correlated with two idiosyncratic parameters: participants with lower tactile resolution tended to move faster; and faster-adapting participants tended to employ oscillatory movements more often. In addition, practicing on isolated geometric features increased the tendency to use the contour-following strategy. These results provide insights into the processes of strategy selection in tactile perception.SIGNIFICANCE STATMENTHand movements are integral components of tactile perception. Yet, the specific motion strategies used to perceive specific objects and features, and their dependence on physiological features and on experience, are understudied. Focusing on planar shape perception and using high-speed hand tracking we show that human participants employ two basic palpation strategies: Contour-following and scanning. We further show that the strategy chosen by each participant and its kinematics depend strongly on the participant’s physiological thresholds – indicative of spatial resolution and temporal adaptation - and on their perceptual experience.

scholarly journals Kinematic synthesis of planar, shape-changing, rigid body mechanisms for design profiles with significant differences in arc length

2013 ◽  
Vol 70 ◽  
pp. 425-440 ◽  
Author(s):  
Shamsul A. Shamsudin ◽  
Andrew P. Murray ◽  
David H. Myszka ◽  
James P. Schmiedeler
Keyword(s):  
Rigid Body ◽  
Arc Length ◽  
Kinematic Synthesis ◽  
Planar Shape

Planar Shape Matching and Feature Extraction Using Shape Profile

2008 ◽  
pp. 358-369 ◽  
Author(s):  
Yong-Jin Liu ◽  
Tao Chen ◽  
Xiao-Yu Chen ◽  
Terry K. Chang ◽  
Matthew M. F. Yuen
Keyword(s):  
Feature Extraction ◽  
Shape Matching ◽  
Planar Shape

AN INVARIANT SHAPE REPRESENTATION: INTERIOR ANGLE CHAIN

2007 ◽  
Vol 21 (03) ◽  
pp. 543-559 ◽  
Author(s):  
BIN WANG ◽  
YAN QIU CHEN
Keyword(s):  
Synthetic Aperture Radar ◽  
Shape Representation ◽  
Interior Angle ◽  
Synthetic Aperture ◽  
Radar Images ◽  
Planar Shape ◽  
The Difference ◽  
Representation Scheme ◽  
Invariant Shape ◽  
Aperture Radar

This paper proposes a novel shape representation scheme — Interior Angle Chain (IAC) — which is invariant to translation, rotation and scaling. The proposed method first approximates the contour of a planar shape with an equilateral polygon and then makes a representation using the polygon's interior angle chain. The difference between two shapes is measured by the distance between their IAC's. An algorithm to obtain equilateral polygon approximation and its associated IAC is proposed in this paper. The proposed shape representation scheme has been tested on two benchmarks and applied to lake recognition in SAR (Synthetic Aperture Radar) images. The results show that IAC is an effective shape representation scheme.

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