Titlebook: Computer Vision: Three-dimensional Reconstruction Techniques; Andrea Fusiello Textbook 2024 Edizioni Franco Angeli under exclusive license

鐵砧

https://doi.org/10.1007/978-1-349-15368-8Stereo matching is a technique used in computer vision to find correspondences between two images of a scene taken from different perspectives. The goal is to establish a one-to-one correspondence between pixels in the two images, which can be represented as a disparity map.

知道

The English Civil War and after, 1642–1658Reflective optical techniques are popular for 3D shape acquisition because they are non-contact, fast, and cost-effective. Active optical techniques involve controlling the illumination of the scene, while passive techniques do not. Active techniques are reified as range sensors, which return the range of visible points in the scene.

Tempor

Fundamentals of Imaging,Imaging devices collect light reflected from objects in a scene and create a two-dimensional image. To use an image to gain information about the scene, we need to understand the process by which the image is created. This process is reversible, meaning that we can use the image to reconstruct the three-dimensional scene.

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The Pinhole Camera Model,This chapter introduces a geometric model of the camera. This model describes how the position of a point in the scene is related to the position of its projection in the image. We make the simplifying assumption that lenses can be neglected, so that the model is a pinhole camera.

敬禮

Camera Calibration,This chapter discusses how to calibrate a camera using the direct linear transform (DLT) algorithm. The DLT algorithm estimates the principal point matrix (PPM) from the image projections of 3D points of known coordinates. The PPM can then be used to derive the intrinsic and extrinsic parameters of the camera.

plasma

Two-View Geometry,Epipolar geometry is the relationship between two images of the same scene. It describes how the projections of the same point in 3D space relate to each other in the two images. Epipolar geometry is fundamental to any computer vision technique that uses multiple images.

Annotate

Reconstruction from Two Images,This chapter discusses triangulation, a technique for estimating the 3D coordinates of points in a scene from their projections in two or more images. The resulting 3D model may differ from the real scene by transformations that reflect our degree of knowledge about the sensor and/or the scene.

信條

Non-linear Regression,In this chapter, we will refine the results of linear algorithms using nonlinear minimisation algorithms, such as LM. This is more computationally expensive, but can provide better estimates in the presence of errors. The cost function and its derivatives are the main focus of this chapter.

大炮

Stereopsis: Matching,Stereo matching is a technique used in computer vision to find correspondences between two images of a scene taken from different perspectives. The goal is to establish a one-to-one correspondence between pixels in the two images, which can be represented as a disparity map.

Clinch

Range Sensors,Reflective optical techniques are popular for 3D shape acquisition because they are non-contact, fast, and cost-effective. Active optical techniques involve controlling the illumination of the scene, while passive techniques do not. Active techniques are reified as range sensors, which return the range of visible points in the scene.