• QT-Net:
  1. Check the stability of the network. From the result, I think the network is stable.
  2. Optimize object extract, which lead to better combination result. But some bad combination still exist.
  3. Make a comparison on datasets whether to delete items which look very similar.
• SLAM:
  1. About the idea that I try about two week ago, I didn't find … Continue Reading ››
     

• Creating training and validation sets with images from more complex scenes, such as different illumination, different camera.
• Optimize the combination of objects to make all objects distribution more concentrated and reduce larger areas' occlusion.

先週の進捗

• 大学院係に提出された「学位論文審査願等（学生用）」は、二回の修正を経て、最終的に完成が確認されました。
• 委員会の先生の意見によって、論文の修正と発表を続けます。

In stereo matching, larger baseline will lead to better result. Also, some other SLAM methods perform well by setting keyframes with larger distance than adjacent frames. Therefore, I design an experiment to estimate the depth and pose from two non-adjacent frames ([0, 1], [0, 2], [0, 3]). The result shows that the depth … Continue Reading ››

先週の進捗

• 最終的な意見に基づき、「Artificial Life and Robotics」の雑誌論文の最終稿を完成し、今日提出する予定です。
• 検索精度の計算を規範化し、論文中の関連結果図を再作成する。

• 大学院係に「学位論文審査願等（学生用）」を提出し、意見に基づいてさらに修正する。

Due to monocular pose estimation without scale information, I use several method to calculate the scale, and evaluate the pose result.

欠席：財前、水戸

進捗確認した。

来週までにマスタースケジュールを作成する。