This paper presents an initial study undertaken with the goal of building believable synthetic characters that will inhabit a collaborative 3D story creation environment for young children (7-9 years old). Our aim is to develop such characters in a manner that children will be able to manipulate and direct their characters as if they were performing their characters’ roles themselves and at the...

Handwritten characters recognition (HCR) presents a great challenge in the field of image processing and pattern recognition. This paper presents handwritten English characters recognised using shape based zoning features with the help of neural network (NN) as a classifier. The neural network used is pattern-net. The recognition rate is observed almost 96%. .

As many 3D on-line games appear, there is an increased need for simple and efficient techniques to create many new faces. This paper presents a new algorithm to composite 3D faces for game characters. No remeshing or segmentation of 3D models is required in our method. Our algorithm is composed of four simple steps: building a one-to-one geometric correspondence between models, local resampling...

An experiment was conducted at Bangladesh Rice Research Institute (BRRI), Gazipur during T.Aman season of 2007 with a view to evaluating seven maintainer and 30 restorer lines for yield and yield contributing characters for selecting promising maintainer and restorer lines for developing rice hybrids in our local environment. Significant variations were noticed among the parental lines for all ...

In this paper, we describe an input sensitive thresholding algorithm for ancient Hebrew calligraphy documents. Usually, historical document images are of poor quality since the documents have degraded over time due to storage conditions. However, the distribution of noise in one document is not uniform and the characters quality may vary. We develop tools to identify noisy characters and apply ...