ii intelligent than conventional approaches as it is designed to select frames representing content of videos. We finally apply our methods to build a video logging system, which automatically records actions of gymnastic videos according to the actions displayed. Both systems perform well for a small set of motion categories. However they are object-dependent systems that need users to manuall...

Object Localization, Segmentation, Classification, and Pose Estimation in 3D Images Using Deep Learning

あらまし 本論文は,環境の全周囲情報を取得できるカメラシステム(全方位センサ)で得られた画像を用い てセンサの位置と姿勢をロバストに推定する新しい手法を提案する.本手法は,まず環境中のいくつかの参照点 において,全方位センサで得られた画像から全周囲エッジヒストグラムをあらかじめ計算しておく.センサの位 置・姿勢を推定する際,動的計画法 (DP)を 2 パス DPに拡張して現位置と参照点の全周囲エッジヒストグラム をマッチングし,各方位角におけるエッジのシフト量を求める.これらのシフト量は sin 曲線と同じ周期性をも ち,センサの回転はエッジの全体的なシフト量に,その移動方向は sin 曲線の 0 位相に対応する.本研究では, これらのエッジシフト量から全体のシフト量とその周期の 0 位相を独立に当てはめることによって,センサの移 動方向と回転角度を効率的に推定する.最後に,最も近い...

In this paper, we present a systematic method for pose estimation of such a generalized imaging device. We formulate it as a non-perspective n point (NPnP) problem. The case with exact solutions, n=3, is investigated comprehensively. Approximate solutions can also be found for n>3 with our approach in a least-squared-error manner. The proposed method can be used not only to perspective imaging ...

Existing works on 2D pose estimation mainly focus a certain category, e.g. human, animal, and vehicle. However, there are lots of application scenarios that require detecting the poses/keypoints unseen class objects. In this paper, we introduce task Category-Agnostic Pose Estimation (CAPE), which aims to create model capable any object given only few samples with keypoint definition. To achieve...

In this paper we present the first fast optimality certifier for non-minimal version of Relative Pose problem calibrated cameras from epipolar constraints. The proposed is based on Lagrangian duality and relies a novel closed-form expression dual points. We also leverage an efficient solver that performs local optimization manifold original problem's non-convex domain. solution then checked via...

We propose to use a state-of-the-art visual odometry technique for the purpose of head pose estimation. We demonstrate that with small adaptation this algorithm allows to achieve more accurate head pose estimation from an RGBD sensor than all the methods published to date. We also propose a novel methodology to automatically assess the accuracy of a tracking algorithm without the need to manual...

We present a new system for the automatic determination of the position , size and pose of the head of a human gure in a camera image. The system is an extension of the well{known face recognition system WFK] to pose estimation. The pose estimation system is characterized by a certain reliability and speed. We improve this performance and speed with the help of statistical estimation methods. I...

This project aims to estimate the pose of an object in the image. Pose estimation problem is known to be an open problem and also a crucial problem in computer vision field. Many real-world tasks depend heavily on or can be improved by a good pose estimation. For example, by knowing the exact pose of an object, robots will know where to sit on, how to grasp, or avoid collision when walking arou...