Zobrazeno 1 - 10
of 173
pro vyhledávání: '"Torii, Akihiko"'
Autor:
Nguyen, Tuan Dinh, Hihara, Keisuke, Hoang, Tung Cao, Utada, Yumeka, Torii, Akihiko, Izumi, Naoki, Thuy, Nguyen Thanh, Tran, Long Quoc
Understanding customer behavior in retail stores plays a crucial role in improving customer satisfaction by adding personalized value to services. Behavior analysis reveals both general and detailed patterns in the interaction of customers with a sto
Externí odkaz:
http://arxiv.org/abs/2309.03232
Autor:
Hoang, Giang, Dinh, Tuan Nguyen, Hoang, Tung Cao, Duy, Son Le, Hihara, Keisuke, Utada, Yumeka, Torii, Akihiko, Izumi, Naoki, Quoc, Long Tran
The lack of large-scale datasets has been impeding the advance of deep learning approaches to the problem of F-formation detection. Moreover, most research works on this problem rely on input sensor signals of object location and orientation rather t
Externí odkaz:
http://arxiv.org/abs/2211.11001
Pipe inspection is a critical task for many industries and infrastructure of a city. The 3D information of a pipe can be used for revealing the deformation of the pipe surface and position of the camera during the inspection. In this paper, we propos
Externí odkaz:
http://arxiv.org/abs/2006.10383
Autor:
Taira, Hajime, Rocco, Ignacio, Sedlar, Jiri, Okutomi, Masatoshi, Sivic, Josef, Pajdla, Tomas, Sattler, Torsten, Torii, Akihiko
Visual localization in large and complex indoor scenes, dominated by weakly textured rooms and repeating geometric patterns, is a challenging problem with high practical relevance for applications such as Augmented Reality and robotics. To handle the
Externí odkaz:
http://arxiv.org/abs/1908.04598
Autor:
Dusmanu, Mihai, Rocco, Ignacio, Pajdla, Tomas, Pollefeys, Marc, Sivic, Josef, Torii, Akihiko, Sattler, Torsten
In this work we address the problem of finding reliable pixel-level correspondences under difficult imaging conditions. We propose an approach where a single convolutional neural network plays a dual role: It is simultaneously a dense feature descrip
Externí odkaz:
http://arxiv.org/abs/1905.03561
Autor:
Rocco, Ignacio, Cimpoi, Mircea, Arandjelović, Relja, Torii, Akihiko, Pajdla, Tomas, Sivic, Josef
We address the problem of finding reliable dense correspondences between a pair of images. This is a challenging task due to strong appearance differences between the corresponding scene elements and ambiguities generated by repetitive patterns. The
Externí odkaz:
http://arxiv.org/abs/1810.10510
Structure from Motion (SfM) using imagery that involves extreme appearance changes is yet a challenging task due to a loss of feature repeatability. Using feature correspondences obtained by matching densely extracted convolutional neural network (CN
Externí odkaz:
http://arxiv.org/abs/1805.03879
Autor:
Taira, Hajime, Okutomi, Masatoshi, Sattler, Torsten, Cimpoi, Mircea, Pollefeys, Marc, Sivic, Josef, Pajdla, Tomas, Torii, Akihiko
We seek to predict the 6 degree-of-freedom (6DoF) pose of a query photograph with respect to a large indoor 3D map. The contributions of this work are three-fold. First, we develop a new large-scale visual localization method targeted for indoor envi
Externí odkaz:
http://arxiv.org/abs/1803.10368
Autor:
Sattler, Torsten, Maddern, Will, Toft, Carl, Torii, Akihiko, Hammarstrand, Lars, Stenborg, Erik, Safari, Daniel, Okutomi, Masatoshi, Pollefeys, Marc, Sivic, Josef, Kahl, Fredrik, Pajdla, Tomas
Visual localization enables autonomous vehicles to navigate in their surroundings and augmented reality applications to link virtual to real worlds. Practical visual localization approaches need to be robust to a wide variety of viewing condition, in
Externí odkaz:
http://arxiv.org/abs/1707.09092
Autor:
Yoshida, Michitaka1 (AUTHOR) yoshida.michitaka@shizuoka.ac.jp, Torii, Akihiko2 (AUTHOR), Okutomi, Masatoshi2 (AUTHOR), Taniguchi, Rin-ichiro3 (AUTHOR), Nagahara, Hajime4 (AUTHOR), Yagi, Yasushi4 (AUTHOR)
Publikováno v:
Sensors (14248220). Sep2023, Vol. 23 Issue 17, p7535. 19p.
