• Title/Summary/Keyword: Toy Problem

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3D Facial Landmark Tracking and Facial Expression Recognition

  • Medioni, Gerard;Choi, Jongmoo;Labeau, Matthieu;Leksut, Jatuporn Toy;Meng, Lingchao
    • Journal of information and communication convergence engineering
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    • v.11 no.3
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    • pp.207-215
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    • 2013
  • In this paper, we address the challenging computer vision problem of obtaining a reliable facial expression analysis from a naturally interacting person. We propose a system that combines a 3D generic face model, 3D head tracking, and 2D tracker to track facial landmarks and recognize expressions. First, we extract facial landmarks from a neutral frontal face, and then we deform a 3D generic face to fit the input face. Next, we use our real-time 3D head tracking module to track a person's head in 3D and predict facial landmark positions in 2D using the projection from the updated 3D face model. Finally, we use tracked 2D landmarks to update the 3D landmarks. This integrated tracking loop enables efficient tracking of the non-rigid parts of a face in the presence of large 3D head motion. We conducted experiments for facial expression recognition using both framebased and sequence-based approaches. Our method provides a 75.9% recognition rate in 8 subjects with 7 key expressions. Our approach provides a considerable step forward toward new applications including human-computer interactions, behavioral science, robotics, and game applications.

How Can We Erase States Inside a Black Hole?

  • Hwang, Junha;Park, Hyosub;Yeom, Dong-han;Zoe, Heeseung
    • Journal of the Korean Physical Society
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    • v.73 no.10
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    • pp.1420-1430
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    • 2018
  • We investigate an entangled system, which is analogous to a composite system of a black hole and Hawking radiation. If Hawking radiation is well approximated by an outgoing particle generated from pair creation around the black hole, such a pair creation increases the total number of states. There should be a unitary mechanism to reduce the number of states inside the horizon for black hole evaporation. Because the infalling antiparticle has negative energy, as long as the infalling antiparticle finds its partner such that the two particles form a separable state, one can trace out such a zero energy system by maintaining unitarity. In this paper, based on some toy model calculations, we show that such a unitary tracing-out process is only possible before the Page time while it is impossible after the Page time. Hence, after the Page time, if we assume that the process is unitary and the Hawking pair forms a separable state, the internal number of states will monotonically increase, which is supported by the Almheiri-Marolf-Polchinski-Sully (AMPS) argument. In addition, the Hawking particles cannot generate randomness of the entire system; hence, the entanglement entropy cannot reach its maximum. Based on these results, we modify the correct form of the Page curve for the remnant picture. The most important conclusion is this: if we assume unitarity, semi-classical quantum field theory, and general relativity, then the black hole should violate the Bekenstein-Hawking entropy bound around the Page time at the latest; hence, the infinite production arguments for remnants might be applied for semi-classical black holes, which seems very problematic.

Face Recognition Network using gradCAM (gradCam을 사용한 얼굴인식 신경망)

  • Chan Hyung Baek;Kwon Jihun;Ho Yub Jung
    • Smart Media Journal
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    • v.12 no.2
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    • pp.9-14
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    • 2023
  • In this paper, we proposed a face recognition network which attempts to use more facial features awhile using smaller number of training sets. When combining the neural network together for face recognition, we want to use networks that use different part of the facial features. However, the network training chooses randomly where these facial features are obtained. Other hand, the judgment basis of the network model can be expressed as a saliency map through gradCAM. Therefore, in this paper, we use gradCAM to visualize where the trained face recognition model has made a observations and recognition judgments. Thus, the network combination can be constructed based on the different facial features used. Using this approach, we trained a network for small face recognition problem. In an simple toy face recognition example, the recognition network used in this paper improves the accuracy by 1.79% and reduces the equal error rate (EER) by 0.01788 compared to the conventional approach.

COMPARATIVE STUDY OF CHARACTERISTICS IN RORSCHACH RESPONSE AND SANDPLAY BETWEEN ADHD AND NORMAL CHILDREN (ADHD 아동과 정상아동의 Rorschach반응 및 모래놀이치료 내용 비교)

  • Cho Sun-Mi;Choi Ji-Won
    • Journal of the Korean Academy of Child and Adolescent Psychiatry
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    • v.17 no.1
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    • pp.51-59
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    • 2006
  • Objectives : Present study compared the characteristics in Rorschach responses and Sandplay between ADHD and normal children group. Method : ADHD (excluded inattention type & emotional problem) group and normal group was composed of 10 children respectively. All of them were controlled by Intelligence Quotation. Rorschach responses were scored by Exner system and compared by t-test. For sandplay work, the time was measured and photo was taken. Results : 1) ADHD group showed that the reaction time in Rorschach was significantly fast and they easily failed to recall the responses. The statical significances are 3r+ (2)/R, X-%, Xu%, (2), AG, Afr, SCZI, Wsum 6, FD, Zd, Blends, a. 2) ADHD group showed that the reaction time in Sandplay was significantly fast, they used low materials (total numbers of toy, vehicles) and the work was less coordinated. Conclusion : This results suggest that ADHD children are apt to react, think and coordinate impulsively. Also, Sandplay could be used fur diagnostic method as Rorschach test.

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