29 citations · 29 across the 3 of their papers we have counts for
11 papers · 1 filter
Improved Scene Landmark Detection for Camera Localization
Tien Do, Sudipta N. Sinha
Camera localization methods based on retrieval, local feature matching, and 3D structure-based pose estimation are accurate but require high storage, are slow, and are not privacy-…
Generalized Pose-and-Scale Estimation using 4-Point Congruence Constraints
Victor Fragoso, Sudipta Sinha
We present gP4Pc, a new method for computing the absolute pose of a generalized camera with unknown internal scale from four corresponding 3D point-and-ray pairs. Unlike most pose-…
Privacy-Preserving Image Features via Adversarial Affine Subspace Embeddings
Mihai Dusmanu, Johannes L. Schönberger, Sudipta N. Sinha +1
Many computer vision systems require users to upload image features to the cloud for processing and storage. These features can be exploited to recover sensitive information about…
Revealing Scenes by Inverting Structure from Motion Reconstructions
Francesco Pittaluga, Sanjeev J. Koppal, Sing Bing Kang +1
Many 3D vision systems localize cameras within a scene using 3D point clouds. Such point clouds are often obtained using structure from motion (SfM), after which the images are dis…
Privacy Preserving Image-Based Localization
Pablo Speciale, Johannes L. Schönberger, Sing Bing Kang +2
Image-based localization is a core component of many augmented/mixed reality (AR/MR) and autonomous robotic systems. Current localization systems rely on the persistent storage of…
Photorealistic Image Synthesis for Object Instance Detection
Tomas Hodan, Vibhav Vineet, Ran Gal +6
We present an approach to synthesize highly photorealistic images of 3D object models, which we use to train a convolutional neural network for detecting the objects in real images…