In this first-ever paperback edition of his long-time best-seller, motivational speaker Steve Chandler helps you create an action plan for living your Vision in business and in life. It features 100 proven methods to positively change the way you think and act-methods based on feedback from the hundreds of thousands of corporate and public seminar attendees Chandler speaks to each year. 100 Ways to Motivate Yourself will help you break through the negative barriers and banish the pessimistic thoughts that are preventing you from fulfilling your lifelong goals and dreams. Whether you re self-employed, a manager, or a high-level executive, it s still easy to get stuck in the daily routines of life, fantasizing about what could have been. Steve Chandler helps you turn that way of thinking around and make what could have been into what can and will be.
Foreword
The four case studies that follow each have a number of common features. They each illustrate the birth of an idea and show how that idea can be realised into a marketable product. Each case study deals with engineering design and development issues and each highlights the importance of developing sound marketing strategies including market research. The importance of appropriate support mechanisms for young entrepreneurs is also covered. The case studies illustrate how successful entrepreneurs deploy a range of entrepreneurial skills and know-how. Above all, the entrepreneurs are seen to have the capacity to innovate and exercise Vision.
We are grateful to Liz Read, Development Manager for Enterprise and Entrepreneurship (Students) at Coventry University for providing these case studies.
Face-Detector, OpenCV Haar cascade object detection. Matlab interface for running haar-cascade object detectors from the Intel Open Computer Vision Library.
數字圖像處理基礎理論，英文資料Restoration and Enhancement
Space Pictures (blurred, noisy, distorted)
Computerized Tomography
Coding
Transmission – Teleconferencing
Storage – Land SAT Images
Pattern Recognition
Blood Cell Analysis
Remote Sensing
Robotic Vision
Computer Graphics
Flight Simulation
Auto Body Design
Special Effect in Movie
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.
This paper presents a visual based localization
mechanism for a legged robot. Our proposal, fundamented
on a probabilistic approach, uses a precompiled topological
map where natural landmarks like doors or ceiling lights
are recognized by the robot using its on-board camera.
Experiments have been conducted using the AIBO Sony
robotic dog showing that it is able to deal with noisy sensors
like Vision and to approximate world models representing
indoor ofce environments. The two major contributions of
this work are the use of this technique in legged robots, and
the use of an active camera as the main sensor
