Stereopsis is a vision process whose geometrical foundation has been known for a long
time, ever since the experiments by Wheatstone, in the 19th century. Nevertheless, its
inner workings in biological organisms, as well as its emulation by computer systems,
have proven elusive, and stereo vision remains a very active and challenging area of
research nowadays. In this volume we have attempted to present a limited but relevant
sample of the work being carried out in stereo vision by researchers from around
An image is a two dimensional projection of a three dimensional scene. Hence a degeneration
is introduced since no information is retained on the distance of a given point in the space.
In order to extract information on the three dimensional contents of a scene from a single
image it is necessary to exploit some a priori knowledge either on the features of the scene,
i.e. presence/absence of architectural lines, objects sizes, or on the general behaviour of
shades, textures, etc.
Binocular stereo, basic stereo matching algorithm, essential matrix for parallel images, depth from disparity, depth from disparity, stereo matching as energy minimization,... As the main contents of the lecture "Stereo". Each of your content and references for additional lectures will serve the needs of learning and research.
Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Binocular Image Sequence Analysis: Integration of Stereo Disparity and Optic Flow for Improved Obstacle Detection and Tracking
Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Fusion of Appearance Image and Passive Stereo Depth Map for Face Recognition Based on the Bilateral 2DLDA
Vision plays a fundamental role for living beings by allowing them to interact with the environment in an effective and efficient way. The ultimate goal of Machine Vision is to endow artificial systems with adequate capabilities to cope with not a priori predetermined situations. To this end, we have to take into account the computing constraints of the hosting architectures and the specifications of the tasks to be accomplished, to continuously adapt and optimize the visual processing techniques. Nevertheless, by exploiting the low?cost computational power of off?the?...