Interactive Face Retrieval Framework for Clarifying User’s Visual Memory
This paper presents an interactive face retrieval framework for clarifying an image representation envisioned by a user. Our system is designed for a situation in which the user wishes to find a person but has only visual memory of the person melsec plc 프로그램 다운로드. We address a critical challenge of image retrieval across the user’s inputs. Instead of target-specific information, the user can select several images that are similar to an impression of the target person the user wishes to search for flash player 동영상 다운로드. Based on the user’s selection, our proposed system automatically updates a deep convolutional neural network. By interactively repeating these process, the system can […]
A Study on the Sense of Burden and Body Ownership on Virtual Slope
This paper provides insight into the burden when people are walking up and down slopes in a virtual environment (VE) while actually walking on a flat floor in the real environment (RE) Download the presentation program. In RE, we feel a physical load during walking uphill or downhill. To reproduce such physical load in the VE, we provided visual stimuli to users by changing their step length 거성맞고 다운로드. In order to investigate how the stimuli affect a sense of burden and body ownership, we performed a user study where participants walked slopes in the VE red hat linux 다운로드. We found that changing the step length has a significant […]
FSNet: An Identity-aware Generative Model for Image-based Face Swapping
This paper presents FSNet, a deep generative model for image-based face swapping. Traditionally, face-swapping methods are based on three-dimensional morphable models (3DMMs), and facial textures are replaced between the estimated three-dimensional (3D) geometries in two images of different individuals 픽시브 일괄. However, the estimation of 3D geometries along with different lighting conditions using 3DMMs is still a difficult task. We herein represent the face region with a latent variable that is assigned with the proposed deep neural network (DNN) instead of facial textures 해리포터와 마법사의 돌 게임. The proposed DNN synthesizes a face-swapped image using the latent variable of the face region and another image of the non-face region. The […]
Resolving Occlusion for 3D Object Manipulation with Hands in Mixed Reality
mathematica 다운로드 Due to the need to interact with virtual objects, the hand-object interaction has become an important element in mixed reality (MR) applications. In this paper, we propose a novel approach to handle the occlusion of augmented 3D object manipulation with hands by exploiting the nature of hand poses combined with tracking-based and model-based methods, to achieve a complete mixed reality experience without necessities of heavy computations, complex manual segmentation processes or wearing special gloves Direct 11. The experimental results show a frame rate faster than real-time and a great accuracy of rendered virtual appearances, and a user study verifies a more immersive experience compared to past approaches Download […]
Automatic Paper Summary Generation from Visual and Textual Information
Due to the recent boom in artificial intelligence (AI) research, including computer vision (CV), it has become impossible for researchers in these fields to keep up with the exponentially increasing number of manuscripts 에펠프로세션맨. In response to this situation, this paper proposes the paper summary generation (PSG) task using a simple but effective method to automatically generate an academic paper summary from raw PDF data Download vmware server. We realized PSG by combination of vision-based supervised components detector and language-based unsupervised important sentence extractor, which is applicable for a trained format of manuscripts 솔라리스. We show the quantitative evaluation of ability of simple vision-based components extraction, and the qualitative evaluation […]
Efficient Metropolis Path Sampling for Material Editing and Re-rendering
This paper proposes efficient path sampling for re-rendering scenes after material editing. The proposed sampling is based on Metropolis light transport (MLT) and dedicates path samples more to pixels receiving greater changes by editing Vampire Stone. To roughly estimate the amount of the changes in pixel values, we first render the difference between images before and after editing. In this step, we render the difference image directly rather than taking the difference of the images by separately rendering them 패션오브 크라이스트. Then, we sample more paths for the pixels with larger difference values, and render the scene after editing following a recent approach using the control variates 솔리드웍스 2018 크랙. […]
Understanding Fake Faces
Face recognition research is one of the most active topics in computer vision (CV), and deep neural networks (DNN) are now filling the gap between human-level and computer-driven performance levels in face verification algorithms chemdraw 다운로드. However, although the performance gap appears to be narrowing in terms of accuracy-based expectations, a curious question has arisen; specifically, “Face understanding of AI is really close to that of human?” In the present study, in an effort to confirm the brain-driven concept, we conduct image-based detection, classification, and generation using an in-house created fake face database 박스헤드 버그판 다운로드. This database has two configurations: (i) false positive face detections produced using both the […]
How Do Computers See Makeup?: Investigating the Effects of Makeup on 3D Facial Reconstruction
Makeup is a way to change one’s appearance. Previous studies on facial recognition show makeup’s potential to obfuscate one’s identity or to impersonate the identity of others 한국영화 리턴. It is reasonable to assume that makeup would also affect 3D facial reconstruction because appearance matters a lot to both. In this paper, we investigated how computer vision sees makeup, and whether it is possible to infer the intention of makeup Download internet radio. We evaluated results of 3D reconstruction from images with and without makeup that intends to resemble targets, and images of targets. The result suggested that makeup affects 3D facial reconstruction and computer vision can capture the intention […]
Understanding Fake-Faces
The research of face is one of the most active topics in computer vision, and deep neural networks (DNNs) fill the gap between human-level and computer-driven performance in face verification movavi video converter. The performance gap seems to get close in the accuracy-based expectation. However, a curious scenario appears, namely face understanding is really close to the human-level performance Pop music music? In the paper, to confirm the brain-driven concept, we conduct image-based detection, classification and generation on our Fake-Face database. The Fake-Face database has two configurations: (i) false positives by face detector (e.g 신서유기7. VJ, CNNs), and (ii) Simulacra faces which seem to be human faces but there is no real-face. […]
RSGAN: Face Swapping and Editing Via Region Separation in Latent Spaces
Download temple run bug edition This poster proposes a new deep generative model that we refer to as region separative generative adversarial network (RSGAN), which can achieve face swapping between arbitrary image pairs and can robustly perform the swapping compared to previous methods using 3DMM Download room escape 4 apk. java 첨부 파일 일괄 다운로드
How makeup experience changes how we see cosmetics?
Recreating the makeup of others’ is a way of changing one’s look through one’s facial appearance. Unlike painting white-based objects, when applying makeup to the skin, the color and condition of the skin changes the impression of color and texture of the cosmetics used 베가스 11 다운로드. This perceptional ambiguity is a major obstacle for selecting cosmetics when recreating makeup from a reference photo. In this study, we discuss how makeup experience affects the ambiguity of human perception in cosmetics selection for recreating makeup: range of color that human perceive to have similar effects and the degree of confidence toward their judgment on the suggested cosmetics 프렌즈 시즌1. One of […]
High-Fidelity Facial Reflectance and Geometry Inference from an Unconstrained Image
We present a deep learning-based technique to infer high-quality facial reflectance and geometry given a single unconstrained image of the subject, which may contain partial occlusions and arbitrary illumination conditions 명량해전 다운로드. The reconstructed high-resolution textures, which are generated in only a few seconds, include high-resolution skin surface reflectance maps, representing both the diffuse and specular albedo, and medium- and high-frequency displacement maps, thereby allowing us to render compelling digital avatars under novel lighting conditions Automatic download of Synology. To extract this data, we train our deep neural networks with a high-quality skin reflectance and geometry database created with a state-of-the-art multi-view photometric stereo system using polarized gradient illumination 기술자들 […]
Cosmetic Features Extraction by a Single Image Makeup Decomposition
In recent years, a large number of makeup images have been shared on social media. Most of these images lack information about the cosmetics used, such as color, glitter or etc., while they are difficult to infer due to the diversity of skin color or lighting conditions omf 2097 다운로드. In this paper, our goal is to estimate cosmetic features only from a single makeup image. Previous work has measured the material parameters of cosmetic products from pairs of images showing the face with and without makeup, but such comparison images are not always available Clear Gothic webfont. Furthermore, this method cannot represent local effects such as pearl or glitter […]
Face Retrieval Framework Relying on User’s Visual Memory
This paper presents an interactive face retrieval framework for clarifying an image representation envisioned by a user. Our system is designed for a situation in which the user wishes to find a person but has only visual memory of the person Download fx3. We address a critical challenge of image retrieval across the user’s inputs. Instead of target-specific information, the user can select several images (or a single image) that are similar to an impression of the target person the user wishes to search for 사천성 게임. Based on the user’s selection, our proposed system automatically updates a deep convolutional neural network. By interactively repeating these process (human-in-the-loop optimization), the […]
Placing Music in Space: A Study on Music Appreciation with Spatial Mapping
We investigate the potential of music appreciation using spatial mapping techniques, which allow us to “place” audio sources in various locations within a physical space Puppet Circus. We consider possible ways of this new appreciation style and list some design variables, such as how to define coordinate systems, how to show visually, and who to place the sound sources Download MasterCam 2017. We conducted an exploratory user study to examine how these design variables affect users’ music listening experiences. Based on our findings from the study, we discuss how we should develop systems that incorporate these design variables for music appreciation in the future cyberduck 다운로드.