[신간의 별자리x] 우리/미술, 그리고 ‘슬픔의 박물관’

I have developed "tennis elbow" from lugging this book around the past four weeks, but it is worth the pain, the effort, and the aspirin. It is also worth the (relatively speaking) bargain price. Including appendixes, this book contains 894 pages of text. The entire panorama of the neural sciences is surveyed and examined, and it is comprehensive in its scope, from genomes to social behaviors. The editors explicitly state that the book is designed as "an introductory text for students of biology, behavior, and medicine," but it is hard to imagine any audience, interested in any fragment of neuroscience at any level of sophistication, that would not enjoy this book. The editors have done a masterful job of weaving together the biologic, the behavioral, and the clinical sciences into a single tapestry in which everyone from the molecular biologist to the practicing psychiatrist can find and appreciate his or

Principles of Neural Science

From the Publisher: 
The accessible presentation of this book gives both a general view of the entire computer vision enterprise and also offers sufficient detail to be able to build useful applications. Users learn techniques that have proven to be useful by first-hand experience and a wide range of mathematical methods. A CD-ROM with every copy of the text contains source code for programming practice, color images, and illustrative movies. Comprehensive and up-to-date, this book includes essential topics that either reflect practical significance or are of theoretical importance. Topics are discussed in substantial and increasing depth. Application surveys describe numerous important application areas such as image based rendering and digital libraries. Many important algorithms broken down and illustrated in pseudo code. Appropriate for use by engineers as a comprehensive reference to the computer vision enterprise.

Computer vision : a modern approach = 计算机视觉 : 一种现代的方法

The measurement of meaning

The PASCAL Visual Object Classes Challenge

A review on the attention mechanism of deep learning

Since Darwin’s seminal works, the universality of facial expressions of emotion has remained one of the longest standing debates in the biological and social sciences. Briefly stated, the universality hypothesis claims that all humans communicate six basic internal emotional states (happy, surprise, fear, disgust, anger, and sad) using the same facial movements by virtue of their biological and evolutionary origins [Susskind JM, et al. (2008) Nat Neurosci 11:843–850]. Here, we refute this assumed universality. Using a unique computer graphics platform that combines generative grammars [Chomsky N (1965) MIT Press, Cambridge, MA] with visual perception, we accessed the mind’s eye of 30 Western and Eastern culture individuals and reconstructed their mental representations of the six basic facial expressions of emotion. Cross-cultural comparisons of the mental representations challenge universality on two separate counts. First, whereas Westerners represent each of the six basic emotions with a distinct set of facial movements common to the group, Easterners do not. Second, Easterners represent emotional intensity with distinctive dynamic eye activity. By refuting the long-standing universality hypothesis, our data highlight the powerful influence of culture on shaping basic behaviors once considered biologically hardwired. Consequently, our data open a unique nature–nurture debate across broad fields from evolutionary psychology and social neuroscience to social networking via digital avatars.

https://www.pnas.org/content/pnas/109/19/7241.full.pdf

Facial expressions of emotion are not culturally universal

https://researchportal.port.ac.uk/portal/files/7059144/1_s2.0_S0925231217305246_main.pdf

Underwater image enhancement via extended multi-scale Retinex

A convenient and effective binocular vision system is set up Gesture information can be accurately extract from the complex environment with the system The template calibration method is used to calibrate the binocular camera and the parameters of the camera are accurately obtained In the phase of stereo matching, the BM algorithm is used to quickly and accurately match the images of the left and right cameras to get the parallax of the measured gesture Combined with triangulation principle, resulting in a more dense depth map Finally, the depth information is remapped to the original color image to realize three-dimensional reconstruction and three-dimensional cloud image generation According to the cloud image information, it can be judged that the binocular vision system can effectively segment the gesture from the complex background

/pdf/gesture-recognition-based-on-binocular-vision-4030bzffbp.pdf

Gesture recognition based on binocular vision

https://researchportal.port.ac.uk/portal/files/10194446/hybrid_spatio_temporal_Neurocomputing2018.pdf

Hui Yu

Papers

A review on the attention mechanism of deep learning

Facial expressions of emotion are not culturally universal

Underwater image enhancement via extended multi-scale Retinex

Gesture recognition based on binocular vision

A hybrid spatio-temporal model for detection and severity rating of Parkinson’s Disease from gait data