Research

Motion Stroke-A Tablet-Based Interface for Motion Design Tool Using Drawing

  • Haruki Kouda, Ichiroh Kanaya, and Kosuke Sato: Motion Stroke-A Tablet-Based Interface for Motion Design Tool Using Drawing, Lecture Notes in Computer Science (LNCS), vol.5611, pp.821-829, 2009. (In Proceedings of HCI International 2009, PartII).

Motion Stroke-A Tablet-Based Interface for Motion Design Tool Using Drawing
  Conventional animation tools provide users with complicated operationswhich require them to adjust too much variables to design a virtualmodel’s 3D motion. In the proposed system, "Motion Stroke", users can controlthese variables only by their 2D drawings on a tablet surface. The proposed interfaceallows users to create new motions through a trial-and-error processwhich is nature in drawing of a picture on a paper. It offers a familiar form fordesigning of a virtual object's motion. We conducted several evaluations andconfirmed that the proposed system allows users to explore their desired motionsflexibly.
  

Return To The Top Page

Modeling Real Ob jects for Kansei-based Shape Retrieval

  • Yukihiro Kouda, Ichiroh Kanaya, and Kosuke Sato: Modeling Real Objects for Kansei-based Shape Retrieval; Journal of Automation and Computing, Vol. 4, No. 1, pp. 14-17 (2007).

Modeling Real Ob jects for Kansei-based Shape Retrieval
  A large number of 3D models are created on computers and available for networks. Some content-based retrieval technologies are indispensable to ャ]d out particular data from such anonymous datasets. Though several shape retrieval technologies have been developed, little attention has been given to the points on human窶冱 sense and impression (as known as Kansei) in the conventional techniques. In this paper, the authors propose a novel method of shape retrieval based on shape impression of human's Kansei. The key to the method is the Gaussian curvature distribution from 3D models as features for shape retrieval. Then it classiャ‘s the 3D models by extracted feature and measures similarity among models in storage.
  

Return To The Top Page

A New Computer Aided Drawing System based on Prediction of Drawing Action

  • Hirokatsu So, ichiroh Kanaya, Kosuke Sato,Hyperdraw: A New Computer Aided Drawing System based on Prediction of Drawing Action, CDROM pp.234-235, Int'l Conf. Advances in Computer Entertainment, ACM, 2007.

A New Computer Aided Drawing System based on Prediction of Drawing Action
  Traditional pens and papers are often the most preferable drawing materials for industrial designers, though computer aided design (CAD) systems are widely used in industrial design ャ‘ld. Such CAD systems are too strict for designers to draw their sketches freely and lack some real feeling of drawing. Somehow, especially in industrial design ャ‘ld, designers need to be assisted when they are drawing sketches since it is difャ…ult even for professional designers to draw beautiful lines and curves every time they move their pens. The authors introduce a new computer aided drawing system, which is called Hyperdraw, in this paper. The Hyperdraw system 窶搜eads窶 its user窶冱 mind: it predicts and curves/lines that the user is intending to draw on a canvas and shows guide on the canvas by using mixed reality (MR) technology.
  

Return To The Top Page

A Free-Hand Drawing with Simultaneous Projection of Predicted Guideline

  • Hirokatsu So, ichiroh Kanaya, Kosuke Sato,Hyperdraw: A Free-Hand Drawing with Simultaneous Projection of Predicted Guideline,Siggraph, ACM, 2007.

A Free-Hand Drawing with Simultaneous Projection of Predicted Guideline
  Traditional pens and papers are often the most preferable drawingmaterials for industrial designers, though computer aided design(CAD) systems are widely used in industrial design field. SuchCAD systems are too strict for designers to draw their sketchesfreely and lack some real feeling of drawing. Somehow, especiallyin industrial design field, designers need to be assisted when theyare drawing sketches since it is difficult even for professional designersto draw beautiful lines and curves every time they movetheir pens. The authors introduce a new computer aided drawingsystem, which is called Hyperdraw, in this paper. The Hyperdrawsystem ”reads” its user’s mind: it predicts and curves/lines that theuser is intending to draw on a canvas and shows guide on the canvasby using mixed reality (MR) technology.
  

Return To The Top Page

Computer Aided Drawing System based on Prediction of Drawing Action

  • Hirokatsu Sou, Ichiro Kanaya, Kosuke Sato: Computer Aided Drawing System based on Prediction of Drawing Action, ACM ACE, 2006.

Computer Aided Drawing System based on Prediction of Drawing Action
  Computer Aided Design (CAD) systems are widely used recent years. In general, however, designers sketch product images by their own hands during early stages of designing. The authors aim to aid these freehand design by predicting and guiding designer's drawings using computers and a display-tablet. The computer estimates geometrical ャ“ures that the designer is drawing in real-time. The experimental results shows that the proposed system is effective for simple designing processes.
  

Return To The Top Page

Synthesis and Analysis of Aesthetic Fractal Patterns for Textile Design

  • Takeshi Sakamoto, Ichiro Kanaya and Kosuke Sato : Synthesis and Analysis of Aesthetic Fractal Patterns for Textile Design, Proc. of NOLTA2006, pp. 1075-1078 (Sep. 2006)

Synthesis and Analysis of Aesthetic Fractal Patterns for Textile Design
  Arts and mathematics have very interestingrelations. Golden ratio, Fibonacci series, or fractal patternsare well-known examples showing there are mathematicalstructures behind its beautifulness. The mathematical notationof the relation seems to be interesting to understand,and create, graphical arts/designs. Our researches aim toclarify sensuousness on graphical arts/designs in a scientificmanner. In this paper, the authors focus to analyzinghuman’s impression mechanism about fractal patterns,which are often appeared in the graphical arts and designs.The authors also aim to model mathematically human’s capabilityto classify impressions about graphic patterns. Forthis purpose, the authors introduce a couple of impressionscalingmethods which quantify impressions of fractal patternsgenerated by using L-System. Experimental resultsshow these two methods well describe impressions to thefractal patterns of human beings.
  

Return To The Top Page