Hiroshi Ikeoka

发表

Depth estimation from tilted optics blur by using neural network

Takayuki Hamamoto, Hiroshi Ikeoka, 2018, 2018 International Workshop on Advanced Image Technology (IWAIT).

Depth estimation based on defocus blur using a single image taken by a tilted lens optics camera

Takayuki Hamamoto, Hiroshi Ikeoka, Yuzo Taketomi, 2013, 2013 International Symposium on Intelligent Signal Processing and Communication Systems.

High Speed Depth Estimation Using Tilted Focal Planes

Takayuki Hamamoto, Hiroshi Ikeoka, 2008, 4th IEEE International Symposium on Electronic Design, Test and Applications (delta 2008).

Real-Time Depth Estimation with Wide Detectable Range Using Horizontal Planes of Sharp Focus Proceedings

Takayuki Hamamoto, Hiroshi Ikeoka, Masayuki Ohata, 2011, ACIVS.

Wide range depth estimation from two blurred images with tilted lens optics

Takayuki Hamamoto, Hiroshi Ikeoka, Maiki Okuwaki, 2014, 2014 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS).

Distance estimation using two different-aperture images obtained by tilted lens optics camera

Takayuki Hamamoto, Hiroshi Ikeoka, Hiroyuki Michi, 2012, 2012 International Symposium on Intelligent Signal Processing and Communications Systems.

Accuracy improvement of depth estimation with tilted optics by optimizing neural network

Takayuki Hamamoto, Hiroshi Ikeoka, 2019, Other Conferences.

Depth estimation for automotive with tilted optics imaging

Takayuki Hamamoto, Hiroshi Ikeoka, Maiki Okuwaki, 2014, 2014 IEEE International Conference on Image Processing (ICIP).

Real-Time Depth Estimation with Wide Detectable Range Using Variance of Depth of Field by Horizontal Planes of Sharp Focus

Takayuki Hamamoto, Hiroshi Ikeoka, 2010 .

Depth Estimation Using Smart Image Sensor with Multiple-Focus Image Function

Takayuki Hamamoto, Kazuya Kodama, Hiroshi Ikeoka, 2008 .

Depth Estimation Using Variant of Depth of Field by Horizontal Planes of Sharp Focus

Takayuki Hamamoto, Hiroshi Ikeoka, 2009, FIRA RoboWorld Congress.