Computer Vision: A Reference Guide by Katsushi Ikeuchi

By Katsushi Ikeuchi

This finished reference presents easy accessibility to suitable details on all features of machine imaginative and prescient. An A-Z layout of over 240 entries bargains a various variety of themes for these looking access into any element in the huge box of computing device imaginative and prescient. Over two hundred Authors from either and academia contributed to this volume.

Each access comprises synonyms, a definition and dialogue of the subject, and a powerful bibliography. wide cross-references to different entries aid effective, effortless searches for instant entry to correct details. Entries have been peer-reviewed by means of a wonderful overseas advisory board, either scientifically and geographically diversified, making sure balanced assurance. Over 3700 bibliographic references for extra interpreting permit deeper exploration into any of the themes covered.

The content material of Computer imaginative and prescient: A Reference Guide is expository and instructional, making the publication a pragmatic source for college students who're contemplating getting into the sphere, in addition to execs in different fields who have to entry this important details yet won't have the time to paintings their manner via a whole textual content on their subject of interest.

Show description

Read or Download Computer Vision: A Reference Guide PDF

Best computer vision & pattern recognition books

Biometrics: Personal Identification in Networked Society

Biometrics: own identity in Networked Society is a accomplished and available resource of cutting-edge info on all present and rising biometrics: the technology of instantly opting for contributors according to their physiological or habit features. specifically, the booklet covers: *General rules and concepts of designing biometric-based platforms and their underlying tradeoffs *Identification of vital concerns within the assessment of biometrics-based platforms *Integration of biometric cues, and the mixing of biometrics with different current applied sciences *Assessment of the services and boundaries of alternative biometrics *The finished exam of biometric tools in advertisement use and in learn improvement *Exploration of a few of the varied privateness and protection implications of biometrics.

Information-Theoretic Evaluation for Computational Biomedical Ontologies

The advance of powerful equipment for the prediction of ontological annotations is a vital objective in computational biology, but comparing their functionality is hard as a result of difficulties attributable to the constitution of biomedical ontologies and incomplete annotations of genes. This paintings proposes an information-theoretic framework to judge the functionality of computational protein functionality prediction.

A Probabilistic Theory of Pattern Recognition (Stochastic Modelling and Applied Probability)

A self-contained and coherent account of probabilistic recommendations, protecting: distance measures, kernel ideas, nearest neighbour ideas, Vapnik-Chervonenkis concept, parametric category, and have extraction. each one bankruptcy concludes with difficulties and workouts to extra the readers knowing.

Additional resources for Computer Vision: A Reference Guide

Sample text

IEEE Trans Syst Man Cybern 25(2): 256–265 4. Basu A, Ravi K (1997) Active camera calibration using pan, tilt and roll. IEEE Trans Syst Man Cybern B 27(3):559–566 5. Borghese NA, Colombo FM, Alzati A (2006) Computing camera focal length by zooming a single point. Pattern Recognit 39(8):1522–1529 6. Brückner M, Denzler J (2010) Active self-calibration of multi-camera systems. In: Proceedings of the 32nd DAGM conference on pattern recognition, Darmstadt, pp 31–40 7. Chippendale P, Tobia F (2005) Collective calibration of active camera groups.

The camera’s intrinsic parameters are updated in real time. Different zoom settings (focal lengths) can also be employed in active calibration. Seales and Eggert [14] calibrate a camera via a fully automated 4-stage global optimization process using a sequence of images of a known calibration target obtained at different mechanical zoom settings. Collins and Tsin [8] proposed a parametric camera model and calibration procedures for an outdoor active camera system with pan, tilt, and zoom control.

These early robotic heads generally used PD servo loops, some with delay compensation mechanisms as described above, and were capable of speeds up to 180 degrees per second. The pan axis maximum rotational velocities were usually higher than those of the tilt and vergence speeds. The axes were most often driven either by DC motors or by stepper motors. A more recent example of a research system is the head of the iCub humanoid robot [20]. Unlike the early robotic heads, which were one-off systems limited to use in a single laboratory, this robot was developed by a consortium of European institutions and is used in many different research laboratories.

Download PDF sample

Rated 4.30 of 5 – based on 40 votes

Categories: Computer Vision Pattern Recognition