This paper introduces an affine invariant of trapezia, and the explicit constraint equation between the intrinsic matrix of a camera and the similarity invariants of a trapezium are established using the affine invariant. By this constraint, the inner parameters, motion parameters of the cameras and the similarity invariants of trapezia can be linearly determined using some prior knowledge on the cameras or the trapezia. The proposed algorithms have wide applicability since parallel lines are not rare in many scenes. Experimental results validate the proposed approaches. This work presents a unifying framework based on the parallelism constraint, and the previous methods based on the parallelograms or the parallelepipeds can be integrated into this framework.
Key words: invariant parallelism constraint camera calibration 3D reconstruction
Analytical constant-modulus algorithm, to separate linear combinations of CM sourcesThe algorithm
is robust in the presence of noise, and is tested on measured data,
collected from an Experimental set-up.
In this paper, we present LOADED, an algorithm for outlier
detection in evolving data sets containing both continuous
and categorical attributes. LOADED is a tunable algorithm,
wherein one can trade off computation for accuracy so that
domain-specific response times are achieved. Experimental
results show that LOADED provides very good detection and
false positive rates, which are several times better than those
of existing distance-based schemes.
An optimal neuron evolution algorithm for the restoration
of linearly distorted images is presented in this paper. The proposed
algorithm is motivated by the symmetric positive-definite quadratic programming
structure inherent in restoration. Theoretical analysis and Experimental
results show that the algorithm not only significantly increases
the convergence rate of processing, hut also produces good restoration
results. In addition, the algorithm provides a genuine parallel processing
structure which ensures computationally feasible spatial domain image
restoration
6個簡單程序java制作的計算器小程序，模擬windows下的計算器原形，并含有實驗報告等。-produced by the small calculator procedures under simulated windows prototype of the calculator, and contains Experimental report
可編程并行接口８２５５Ａ完成的交通燈實驗 用８２５５Ａ的Ｂ端口和Ｃ端口控制１２個ＬＥＤ的亮和滅（輸出為０則亮，輸出為１則滅），模擬十字路口的交通燈。 -programmable parallel interface 8255A completed, the traffic lights Experimental 8255A port B and C - I control 12 LED bright and methomyl (output of 0-liang, the output of an anti), the simulation of traffic lights at a crossroads.
Visual tracking is one of the key components for robots
to accomplish a given task in a dynamic environment,
especially when independently moving objects are included.
This paper proposes an extension of Adaptive
Visual Servoing (hereafter, AVS) for unknown moving
object tracking. The method utilizes binocular stereo
vision, but does not need the knowledge of camera parameters.
Only one assumption is that the system
need stationary references in the both images by which
the system can predict the motion of unknown moving
objects. The basic ideas how we extended the AVS
method such that it can track unknown moving objects
are given and formalized into a new AVS system. The
Experimental results with proposed control architecture
are shown and a discussion is given.
