By Pietro Zanuttigh, Giulio Marin, Carlo Dal Mutto, Fabio Dominio, Ludovico Minto, Guido Maria Cortelazzo
This booklet offers a complete review of the most important applied sciences and purposes on the topic of new cameras that experience introduced 3D facts acquisition to the mass marketplace. It covers either the theoretical rules in the back of the purchase units and the sensible implementation elements of the pc imaginative and prescient algorithms wanted for a number of the functions. actual facts examples are utilized in order to teach the performances of a few of the algorithms. The functionality and boundaries of the intensity digicam know-how are explored, besides an intensive evaluate of the simplest equipment for addressing demanding situations in universal applications.
Applications coated in particular element comprise scene segmentation, 3D scene reconstruction, human pose estimation and monitoring and gesture attractiveness. This ebook deals scholars, practitioners and researchers the instruments essential to discover the capability makes use of of intensity information in gentle of the increasing variety of units to be had on the market. It explores the impression of those units at the quickly growing to be box of depth-based laptop vision.
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Extra info for Time-of-Flight and Structured Light Depth Cameras: Technology and Applications
Sample text
In particular, in Fig. 12 a light pattern pixel pA with coordinates pA D ŒuA ; vA T in the A-2D reference system, is projected to 3D 24 1 Introduction Scene P C A pC pA Acquired Image Projected Pattern Fig. 12 Structured light systems operation: pixel pA is coded in the pattern. The pattern is projected to the scene and acquired by C. The 3D point associated with pA is P and the conjugate point of pA is pC . A correspondence estimation algorithm estimates the conjugate points upon which triangulation can be instantiated scene point P with coordinates PC D ŒxC ; yC ; zC T in the C-3D (and S-3D) reference system.
Scale Invariant Feature Transform (SIFT) [42], which offers a robust salient point detector and an effective descriptor of the detected points, gave a truly major contribution to this field [47] and inspired a number of advances in related areas. An application of wide baseline matching which recently received major attention, as reported below, is 3D reconstruction from a generic collection of images of a scene [54]. It is finally worth recalling that although specific algorithms may have a considerable impact on the solution of the correspondence problem, the ultimate quality of 3D stereo reconstruction inevitably also depends on scene characteristics.
Chapter 2 describes structured light systems and their practical issues while Chap. 3 addresses CWAM ToF sensors. In both chapters, we adopt a general system approach emphasizing principles over circuit and implementation details and focus on the characteristics and limitations of the data provided by these technologies. The design of algorithms using depth data described in the rest of the book is directly related to the characteristics of such depth cameras. It is worth to notice that the phase 'c of the carrier at the transmitter side is generally different from the phase 'c0 at the receiver.