Abstract book (pdf) - ICPR 2010

paper, we proposes a one-shot scanning system based on a novel stripe pattern. This pattern uses color stripes with quadratic
intensity distribution in each stripe. The color distribution is based on a De Bruijn sequence with six colors and order
three. Graph cut is utilized to decode the color information and the resulting code is calculated using local intensity. Compared
with traditional methods, the proposed method uses one pattern only and achieves pixel wise reconstruction. Experimental
results show that our one-shot scanning system can robustly capture 3D data with high accuracy.
13:30-16:30, Paper TuBCT8.8
Face Appearance Reconstruction based on a Regional Statistical Craniofacial Model (RSCM)
Yan-Fei, Zhang, Northwest Univ.
Ming-Quan, Zhou, Northwest Univ.
Geng, Guohua, Northwest Univ.
Feng, Jun, Northwest Univ.
The reconstruction of facial soft tissue is an essential processing phase in a few of fields. In this paper, we propose a face
appearance reconstruction algorithm based on a Regional Statistical Craniofacial model called RSCM. Specifically, the
shape of the craniofacial model is decomposed into a few of segments, such as the eyes, the nose and the mouth regions,
then the joint statistical models of different regions are constructed independently to address the small sample size problem.
The face reconstruction task is formulated as a miss data problem, and is also fulfilled region by region respectively.
Finally, the recovered regions are assembled together to achieve a completed face model. The experimental results show
that the proposed reconstruction scheme achieves less error rate than a state of the art method.
13:30-16:30, Paper TuBCT8.9
3D Human Pose Reconstruction using Millions of Exemplars
Jiang, Hao, Boston Coll.
We propose a novel exemplar based method to estimate 3D human poses from single images by using only the joint correspondences.
Due to the inherent depth ambiguity, estimating 3D poses from a monocular view is a challenging problem.
We solve the problem by searching through millions of exemplars for optimal poses. Compared with traditional parametric
schemes, our method is able to handle very large pose database, relieves parameter tweaking, is easier to train and is more
effective for complex pose 3D reconstruction. The proposed method estimates upper body poses and lower body poses
sequentially, which implicitly squares the size of the exemplar database and enables us to reconstruct unconstrained poses
efficiently. Our implementation based on the kd-tree achieves real-time performance. The experiments on a variety of images
show that the proposed method is efficient and effective.
13:30-16:30, Paper TuBCT8.10
Recovering 3D Shape using an Improved Fast Marching Method
Zou, Chengming, Wuhan Univ. of Tech.
Hancock, Edwin, Univ. of York
In this paper we present an improved shape from shading method using improved fast marching method. We commence
by showing how to recover 3D shape from a single image using an improved fast marching method for solving SFS problem.
Then we use the level set method constrained by energy minimization to evolve the 3D shape. Finally we show that
the method can recover stable surface estimates from both synthetic and real world images of complex objects. The experimental
results show that the resulting method is both robust and accurate.
13:30-16:30, Paper TuBCT8.11
The Motion Dynamics Approach to the PnP Problem
Wang, Bo, Chinese Acad. of Sciences
Sun, Fengmei, North China University of Technology
We propose a new motion dynamics approach to solve the PnP problem, where a dynamic simulation system is constituted
by springs and balls. The equivalence between minimizing the energy of the dynamic system and solving the PnP problem
is proved. With the assumption of the existence of resistances, the solution of the original PnP problem can be solved
through the simulation of the process of the movement of the balls.
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