Humanoid-Eye Imaging System Model with Ability of Resolving Power Computing - Advances in Image and Graphics Technologies - page 91

Humanoid-Eye Imaging System Model with Ability
of Resolving Power Computing

Ma Huimin 1 and Zhou Luyao 2

1 Department of Electronics Engineering, Tsinghua University, Beijing, China
[e-mail]
2 Department of Electronics Engineering, Tsinghua University, Beijing, China
[e-mail]

Abstract. This paper proposes an innovative imaging system model for human
eyes with resolving power calculation, which is feasible in practice and stands
on solid Physical background. The model, humanoid-eye imaging system
(HIS), is constructed synthesizing an imaging component model and a photo-
sensing component model based on relevant parts of human eyes. HIS inte-
grates core features and working mechanism of human eyes and can also be re-
garded as simulation of various real digital imaging systems. According to cri-
teria derived from wave optics and the theory of receptors, point resolving pow-
er for HIS is defined and its calculations are deduced as functions of specified
parameters of HIS and variables of object points observed by HIS. Experiment
with a camera as the application of HIS show that HIS is applicable and its re-
solving power calculation is precise in reality. Our work supply a novel method
for the first time to efficiently connect real observing conditions with computer
simulation for fields related to 3D meshes management.

Keywords : Humanoid-eye imaging system (HIS), resolving power, wave op-
tics, receptor.

1 Introduction

The simplification of 3D objects recognition procedure through simplifying objects'
3D mesh model and managing multi-resolution model rendering is one of the methods
to decrease the computation complexity of 3D objects recognition and accelerate the
speed of such procedure, which gain increasing concern at present.
The last few years have seen many researchers' innovative and practical progress
in this field [1, 2, 3]. No matter what approaches are employed in data management
and simplification, within most of these methods there is a critical step to determine
the extent to which the simplification should be stopped. When applied in reality, a
typical way of such step is to assign a threshold which indicates the termination of 3D
meshes simplification [4]. The threshold is typically expected to reflect real situations
of certain observing systems such as human eyes, cameras and so on, especially for
works related to practical implementation or simulation.
Unfortunately, current approaches for simplification threshold determination lack
supports from definite background and theories of physics. Most of these approaches