Creada por:   University of Pennsylvania

  • Kostas Daniilidis

    Enseñado por:    Kostas Daniilidis, Professor of Computer and Information Science

    School of Engineering and Applied Science

  • Jianbo Shi

    Enseñado por:    Jianbo Shi, Professor of Computer and Information Science

    School of Engineering and Applied Science
Información básica
Curso 4 de 6 en el Programa especializado Robótica.
NivelIntermediate
Compromiso4 semanas de estudio, 3-5 horas/semana
Idioma
English
Cómo aprobarAprueba todas las tareas calificadas para completar el curso.
Calificaciones del usuario
4.3 stars
Average User Rating 4.3Ve los que los estudiantes dijeron
Programa

Preguntas Frecuentes
Cómo funciona
Trabajo del curso
Trabajo del curso

Cada curso es como un libro de texto interactivo, con videos pregrabados, cuestionarios y proyectos.

Ayuda de tus compañeros
Ayuda de tus compañeros

Conéctate con miles de estudiantes y debate ideas y materiales del curso, y obtén ayuda para dominar los conceptos.

Certificados
Certificados

Obtén reconocimiento oficial por tu trabajo y comparte tu éxito con amigos, compañeros y empleadores.

Creadores
University of Pennsylvania
The University of Pennsylvania (commonly referred to as Penn) is a private university, located in Philadelphia, Pennsylvania, United States. A member of the Ivy League, Penn is the fourth-oldest institution of higher education in the United States, and considers itself to be the first university in the United States with both undergraduate and graduate studies.
Tarifa
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Accede a los materiales del curso

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Accede a los materiales con calificación

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Recibe una calificación final

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Obtén un Certificado para compartir

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Calificaciones y revisiones
Calificado 4.3 de 5 198 calificaciones

A very good course in general. The materials and assignments are practical and the explanation of the instructors are clear. You are expect to gain a general knowledge about computer vision, camera calibration, and the usage of linear algebra in computer vision.

One thing that could be improved is that there is a big jump from week 2 to week 3 and also from week 3 to week 4. It's like a sophomore course at week 1 and week 2 and suddenly it jumps to a senior course in week 3 and a graduate course in week 4. It might be better to provide some supplementary materials in between.

Loved the lecture and materials. However, the course need more ACTIVE teaching staff and mentors. I had several questions regarding the materials but could not get any help from start to the end. It was the only specialization course that I had to move on without complete understanding of the materials.

Really good course for getting a sound foundation on geometry of computer vision.

The 4th week content is hard to follow than the previous three. It would be better if more detailed math and examples are provided in the 4th week.